R/R06-Inventories_scales_questionnaires.R
In rettopnivek/camrprojects: Portable Functions for R Projects at CAM-MGH
Defines functions
camr_add_inventory_item
camr_inventories
Documented in
camr_add_inventory_item
camr_inventories
# Inventories, scales, and questionnaires
# Written by...
# Megan Cooke
# Kevin Potter
# Jakob Weiss
# Maintained by...
# Kevin Potter
# Email:
# kpotter5@mgh.harvard.edu
# Please email us directly if you
# have any questions or comments
# Last updated: 2023-03-02
# Table of contents
# 1) camr_inventories
# 1.0) Templates for adding measures
# 1.1) APSS
# 1.2) ASRS
# 1.3) AUDIT
# 1.4) AUQ
# 1.5) AIS
# 1.6) BIS-11
# 1.7) BRIEF CHECK!!!
# 1.8) BRIEF2 CHECK!!!
# 1.9) BPI
# 1.10) BPAQ
# 1.11) CUDIT-R
# 1.12) CWS
# 1.13) CGI CHECK!!!
# 1.14) CHRT
# 1.15) DOSPERT
# 1.16) DMQ
# 1.17) ERS
# 1.18) GLTEQ
# 1.19) HADS
# 1.20) KSADS CHECK!!!
# 1.21) MCQ-SF
# 1.22) MEEQ CHECK!!!
# 1.23) MMM
# 1.24) MPS
# 1.25) MCQ
# 1.26) MASQ CHECK!!!
# 1.27) MISS
# 1.28) PCS
# 1.29) PSS
# 1.30) PDI
# 1.31) PSQI
# 1.32) PQB
# 1.33) PERS
# 1.34) SCARED
# 1.35) SF-12
# 1.36) TIPI
# 1.37) CES-D
# 1.38) UPPS-P
# 1.39) WTAR
# 1.40) WHODAS 2.0
# 1.41) Y-PSC
# 2) camr_add_inventory_item
#### 1) camr_inventories ####
#' Pre-defined Output for Known Scales and Subscales
#'
#' A convenience function that, given an abbreviation
#' for a scale, inventory, or questionnaire, returns
#' a list of information useful for data dictionary
#' purposes.
#'
#' @param abbreviation The abbreviation for a scale, used to
#' look up the associated pre-defined output.
#' @param subscale The name of a subscale of the scale
#' given above, used to look up the relevant ancillary
#' output.
#'
#' @author Megan Cooke, Jacob Weiss, Kevin Potter
#'
#' @return A list consisting of...
#' \itemize{
#' \item `Description` A brief description of the
#' scale/subscale and its purpose
#' \item `Scale` A list with the scale name, abbreviation,
#' number of items, lowest to highest possible score (if
#' applicable), clinical cut-offs (if applicable), and
#' APA-styled references for the scale development/interpretation;
#' \item `Subscale` A list with the subscale name,
#' number of items, lowest to highest possible score,
#' clinical cut-offs (if applicable).
#' \item `Units` The units of measurement.
#' }
#'
#' @examples
#' # List all possible inputs (i.e., known
#' # scales, inventories, and questionnaires)
#' camr_inventories()
#'
#' # Example input
#' camr_inventories( 'HADS' )
#' camr_inventories( 'HADS', subscale = 'Anxiety' )
#'
#' @export
camr_inventories <- function(
abbreviation = NULL,
subscale = '' ) {
if ( is.null( abbreviation ) & subscale == '' ) {
inputs <- c(
'Accepted inputs:\n\n',
'Adolescent Psychotic Symptom Screener\n',
' abbreviation = "APSS"\n\n',
'Adult ADHD Self-Report Scale\n',
' abbreviation = "ASRS"\n\n',
'Alcohol Urge Questionnaire\n',
' abbreviation = "AUQ"\n',
' subscale = "Urge"\n\n',
'Alcohol Use Disorders Identification Test\n',
' abbreviation = "AUDIT"\n\n',
'Athens Insomnia Scale\n',
' abbreviation = "AIS"\n\n',
'Barratt Impulsiveness Scale\n',
' abbreviation = "BIS-11"\n',
' subscale = "Attentional"\n',
' subscale = "Motor"\n',
' subscale = "Planning"\n\n',
'Behavior Rating Inventory of Executive Function 2nd Edition\n',
' abbreviation = "BRIEF2"\n',
' subscale = "Inhibit (Raw)"\n',
' subscale = "Inhibit (Percentile)"\n',
' subscale = "Inhibit (T-score)"\n',
' subscale = "Self-Monitor (Raw)"\n',
' subscale = "Self-Monitor (Percentile)"\n',
' subscale = "Self-Monitor (T-score)"\n',
' subscale = "Shift (Raw)"\n',
' subscale = "Shift (Percentile)"\n',
' subscale = "Shift (T-score)"\n',
' subscale = "Emotional Control (Raw)"\n',
' subscale = "Emotional Control (Percentile)"\n',
' subscale = "Emotional Control (T-score)"\n',
' subscale = "Task Completion (Raw)"\n',
' subscale = "Task Completion (Percentile)"\n',
' subscale = "Task Completion (T-score)"\n',
' subscale = "Working Memory (Raw)"\n',
' subscale = "Working Memory (Percentile)"\n',
' subscale = "Working Memory (T-score)"\n',
' subscale = "Plan|Organize (Raw)"\n',
' subscale = "Plan|Organize (Percentile)"\n',
' subscale = "Plan|Organize (T-score)"\n',
' subscale = "Behavioral Regulation (Raw)"\n',
' subscale = "Behavioral Regulation (Percentile)"\n',
' subscale = "Behavioral Regulation (T-score)"\n',
' subscale = "Emotion Regulation (Raw)"\n',
' subscale = "Emotion Regulation (Percentile)"\n',
' subscale = "Emotion Regulation (T-score)"\n',
' subscale = "Cognitive Regulation (Raw)"\n',
' subscale = "Cognitive Regulation (Percentile)"\n',
' subscale = "Cognitive Regulation (T-score)"\n',
' subscale = "General Executive (Raw)"\n',
' subscale = "General Executive (Percentile)"\n',
' subscale = "General Executive (T-score)"\n\n',
'Brief Pain Inventory (Short form)\n',
' abbreviation = "BPI"\n',
' subscale = "Severity"\n',
' subscale = "Interference"\n\n',
'Buss-Perry Aggression Questionnaire\n',
' abbreviation = "BPAQ"\n',
' subscale = "Physical Aggression"\n',
' subscale = "Verbal Aggression"\n',
' subscale = "Anger"\n',
' subscale = "Hostility"\n\n',
'Cannabis Use Disorder Identification Test - Revised\n',
' abbreviation = "CUDIT"\n\n',
'Cannabis Withdrawal Scale\n',
' abbreviation = "CWS"\n',
' subscale = "Intensity"\n',
' subscale = "Negative impact"\n\n',
'Clinical Global Impression scale\n',
' abbreviation = "CGI"\n',
' subscale = "Anxiety"\n',
' subscale = "Depression"\n\n',
'Concise Health Risk Tracking scale\n',
' abbreviation = "CHRT"\n',
' subscale = "Despair"\n', # 3
' subscale = "Helplessness"\n', # 2
' subscale = "Lack of social support"\n', # 2
' subscale = "Pessimism"\n', # 2
' subscale = "Suicidal thoughts"\n', # 3
' subscale = "Propensity"\n\n',
'Domain-Specific Risk-Taking Scale\n',
' abbreviation = "DOSPERT"\n',
' subscale = "Ethical"\n',
' subscale = "Financial"\n',
' subscale = "Health/Safety"\n',
' subscale = "Social"\n',
' subscale = "Recreational"\n',
' subscale = "Ethical Risk Perception"\n',
' subscale = "Financial Risk Perception"\n',
' subscale = "Health/Safety Risk Perception"\n',
' subscale = "Social Risk Perception"\n',
' subscale = "Recreational Risk Perception"\n',
' subscale = "Ethical Risk Benefit"\n',
' subscale = "Financial Risk Benefit"\n',
' subscale = "Health/Safety Risk Benefit"\n',
' subscale = "Social Risk Benefit"\n',
' subscale = "Recreational Risk Benefit"\n\n',
'Drinking Motives Questionnaire-Revised\n',
' abbreviation = "DMQ"\n',
' subscale = "Social"\n',
' subscale = "Coping"\n',
' subscale = "Enhancement"\n',
' subscale = "Conformity"\n\n',
'Emotion Reactivity Scale\n',
' abbreviation = "ERS"\n',
' subscale = "Sensitivity"\n',
' subscale = "Intensity/arousal"\n',
' subscale = "Persistence"\n\n',
'Godin Leisure-Time Exercise Questionnaire\n',
' abbreviation = "GLTEQ"\n\n',
'Hospital Anxiety Depression Scale\n',
' abbrevation = "HADS"\n',
' subscale = "Anxiety"\n',
' subscale = "Depression"\n\n',
'Kiddie Schedule for Affective Disorders and Schizophrenia\n',
' abbreviation = "KSADS"\n\n',
'Marijuana Craving Questionnaire (Short form)\n',
' abbrevation = "MCQ-SF"\n',
' subscale = "Compulsitivity"\n',
' subscale = "Emotionality"\n',
' subscale = "Expectancy"\n',
' subscale = "Purposefulness"\n\n',
'Marijuana Effect Expectancy Questionnaire\n',
' abbrevation = "MEEQ"\n',
' subscale = "Cognitive and Behavioral Impairment"\n',
' subscale = "Relaxation and Tension Reduction"\n',
' subscale = "Social and Sexual Facilitation"\n',
' subscale = "Perceptual and Cognitive Enhancement"\n',
' subscale = "Global Negative Effects"\n',
' subscale = "Craving and Physical Effects"\n\n',
'Marijuana Motives Measure\n',
' abbrevation = "MMM"\n',
' subscale = "Coping"\n',
' subscale = "Conformity"\n',
' subscale = "Social"\n',
' subscale = "Enhancement"\n',
' subscale = "Expansion"\n\n',
'Marijuana Problem Scale\n',
' abbrevation = "MPS"\n\n',
'Monetary Choice Questionnaire\n',
' abbrevation = "MCQ"\n\n',
'Mood and Anxiety Symptom Questionnaire\n',
' abbreviation = "MASQ"\n',
' subscale = "General distress anxious symptoms"\n',
' subscale = "Anxious arousal"\n',
' subscale = "General distress depressive symptoms"\n',
' subscale = "Anhedonic depression"\n\n',
'Multidimensional Iowa Suggestibility Scale\n',
' abbreviation = "MISS"\n',
' subscale = "Consumer Suggestibility"\n',
' subscale = "Persuadability"\n',
' subscale = "Physiological Suggestibility"\n',
' subscale = "Physiological Reactivity"\n',
' subscale = "Peer Conformity"\n',
' subscale = "Short Suggestibility Scale"\n',
' subscale = "Mental Control"\n',
' subscale = "Unpersuadability"\n\n',
'Pain Catastrophizing Scale\n',
' abbreviation = "PCS"\n\n',
'Perceived Stress Scale\n',
' abbreviation = "PSS"\n\n',
'Peters et al. Delusions Inventory\n',
' abbreviation = "PDI"\n',
' subscale = "Distress"\n',
' subscale = "Preoccupation"\n',
' subscale = "Conviction"\n',
' subscale = "PDI yes/no"\n',
' subscale = "PDI total"\n\n',
'Pittsburgh Sleep Quality Index\n',
' abbreviation = "PSQI"\n',
' subscale = "Component 1"\n',
' subscale = "Component 2"\n',
' subscale = "Component 3"\n',
' subscale = "Component 4"\n',
' subscale = "Component 5"\n',
' subscale = "Component 6"\n',
' subscale = "Component 7"\n\n',
'Prodromal Questionnaire-Brief\n',
' abbreviation = "PQB"\n',
' subscale = "Distress"\n\n',
'Provider Expectations for Recovery Scale\n',
' abbreviation = "PERS"\n\n',
'Screen for Child Anxiety Related Emotional Disorders\n',
' abbreviation = "SCARED"\n',
' subscale = "Panic Disorder"\n',
' subscale = "Separation Anxiety Disorder"\n',
' subscale = "Generalized Anxiety Disorder"\n',
' subscale = "Social Phobia"\n',
' subscale = "Specific Phobias"\n',
' subscale = "Obsessive Compulsive Disorder"\n',
' subscale = "Traumatic Stress Disorder"\n\n',
'Short Form Health Survey\n',
' abbreviation = "SF-12"\n',
' subscale = "Physical"\n',
' subscale = "Mental"\n\n',
'Ten Item Personality Inventory\n',
' abbreviation = "TIPI"\n',
' subscale = "Extraversion"\n',
' subscale = "Agreeableness"\n',
' subscale = "Conscientiousness"\n',
' subscale = "Emotional Stability"\n',
' subscale = "Openness"\n\n',
'The Center for Epidemiologic Studies Depression Scale\n',
' abbreviation = "CES-D"\n\n',
'Urgency, Premeditation (lack of), Perseverance \n',
'(lack of), Sensation Seeking, Positive Urgency, \n',
'Impulsive Behavior Scale\n',
' abbreviation = "UPPS-P"\n',
' subscale = "Negative urgency"\n',
' subscale = "Lack of premeditation"\n',
' subscale = "Lack of perseverance"\n',
' subscale = "Sensation seeking"\n',
' subscale = "Positive urgency"\n\n',
'Wechsler Test of Adult Reading\n',
' abbreviation = "WTAR"\n\n',
'World Health Organization Disability Assement Scale 2.0\n',
' abbrevation = "WHODAS 2.0"\n',
' subscale = "IRT-based scores"\n',
' subscale = "Percentile rank"\n\n'
)
message( inputs )
# End function call
return( invisible( NULL ) )
}
# Initialize output
out <- list(
Description = NULL,
Scale = NULL,
Subscale = NULL,
Units = NULL
)
#### 1.0) Templates for adding measures ####
# Replace content in square brackets []
# Template for single inventory/scale/questionnaire
# 1.[Index number]) [Abbreviation]
# if ( abbreviation == '[Abbreviation]' ) {
#
# out$Description <- paste0(
# 'Scores for the [Abbreviation] - measure of ',
# '[description of measure]'
# )
#
# out$Units <- "[Typically either Summed score, Mean score, or T-score]"
#
# out$Scale <- list(
# name = '[Full name of measure]',
# n_items = [Total number of items for full measure],
# range = c( Min = [Lowest score], Max = [Highest score] ),
# abbreviation = '[Abbreviation]',
# cut_off = c( `[Description]` = [Value] ),
# reference = c(
# # Add references as separate character strings
# paste0(
# '[Last name], [First letter of first name], ..., ',
# '& [Last name], [First letter of first name] ([Year]).
# [Article title]. [Journal title - no abbreviations],
# [Journal volume] ([Journal issue]), [1st page]-[Last page].'
# )
# ),
# reference_identifier = c(
# DOI = '[DOI number]',
# PMID = '[PMID number]',
# URL = '[URL link]
# ),
# interpretation = paste0(
# "Higher scores indicate [insert interpretation]"
# ),
# values_and_labels = c(
# content = [Numeric vector with responses],
# additional_content = [Character vector with labels for responses]
# )
# )
#
# # Close '[Abbreviation]'
# }
# Template for inventory/scale/questionnaire with subscales
#### 1.1) APSS ####
if ( abbreviation == 'APSS' ) {
out$Description <- paste0(
'Scores for the APSS - measure of the degree of risk for ',
'psychotic-like experiences for a subject'
)
out$Units <- 'Summed score'
out$Scale <- list(
name = 'Adolescent Psychotic Symptom Screener',
n_items = 7,
range = c( Min = 0, Max = 7 ),
abbreviation = 'APSS',
cut_off = c( `At risk` = 2 ),
reference = paste0(
'Kelleher, I., Harley, M., Murtagh, A., & Cannon, M. (2011).',
' Are screening instruments valid for psychotic-like ',
'experiences? A validation study of screening questions ',
'for psychotic-like experiences using in-depth clinical ',
'interview. Schizophrenia Bulletin, 37 (2), 362–369.',
'https://doi.org/10.1093/schbul/sbp057'
),
reference_identifier = c(
DOI = '10.1093/schbul/sbp057'
),
interpretation = paste0(
'Higher scores indicate greater risk for psychotic-like experiences'
),
values_and_labels = list(
content = c( 0, 0.5, 1 ),
additional_content = c(
'No - never',
'Maybe',
'Yes - definitely'
)
)
)
# Close 'APSS'
}
#### 1.2) ASRS ####
if ( abbreviation == 'ASRS' ) {
out$Description <- paste0(
'Scores for the ASRS - measure of symptoms ',
'suggesting attention-deficit hyperactivity disorder'
)
out$Units <- 'Summed score'
out$Scale <- list(
name = 'Adult ADHD Self-Report Scale',
n_items = 18,
range = c( Min = 0, Max = 72 ),
abbreviation = 'ASRS',
cut_off = NA,
reference = paste0(
'Kessler, R. C., Adler, L., Ames, M., Demler, O., Faraone, ',
'S., Hiripi, E. V. A., ... & Walters, E. E. (2005). The World ',
'Health Organization Adult ADHD Self-Report Scale (ASRS): a ',
'short screening scale for use in the general population. ',
'Psychological medicine, 35(2), 245-256. ',
'https://doi.org/10.1017/S0033291704002892'
),
reference_identifier = c(
DOI = '10.1017/S0033291704002892'
),
interpretation = paste0(
'Higher scores indicate more severe ADHD-like symptoms'
),
values_and_labels = list(
content = c( 0, 1, 2, 3, 4 ),
additional_content = c(
'Never',
'Rarely',
'Sometimes',
'Often',
'Very often'
)
)
)
# Close 'ASRS'
}
#### 1.3) AUDIT ####
if ( abbreviation == 'AUDIT' ) {
out$Description <- paste0(
'Scores for the AUDIT - measure ',
'of the degree of problematic alcohol use behavior ',
'for a subject'
)
out$Units <- "Summed score"
out$Scale <- list(
name = 'Alcohol Use Disorders Identification Test',
n_items = 10,
range = c( Min = 0, Max = 40 ),
abbreviation = 'AUDIT',
cut_off = c( Hazardous = 8, Harmful = 16, `High risk` = 20 ),
reference = paste0(
'Allen, J. P., Reinert, D. F., Volk, R. J. ',
'(2001). The alcohol use disorders identification test: ',
'An aid to recognition of alcohol problems in primary ',
'care patients. Preventive Medicine, 33 (5), 428-433. ',
'https://doi.org/10.1006/pmed.2001.0910'
),
reference_identifier = c(
DOI = '10.1006/pmed.2001.0910'
),
interpretation = paste0(
"Higher scores indicate more problematic alcohol use ",
"behavior"
),
values_and_labels = ""
)
# Close 'AUDIT'
}
#### 1.4) AUQ ####
if ( abbreviation %in% c( 'AUQ', 'URGE' ) ) {
### Overall
out$Description <- paste0(
'Scores for the AUQ - measure ',
'of the degree to which a person craves alcohol'
)
out$Units <- "Summed score"
out$Scale <- list(
name = 'Alcohol Urge Questionnaire',
n_items = 8,
range = c( Min = 8, Max = 56 ),
abbreviation = 'AUQ',
cut_off = NA,
reference = paste0(
'Bohn, M. J., Krahn, D. D., & Staehler, B. A. (1995). ',
'Development and initial validation of a measure of ',
'drinking urges in abstinent alcoholics. Alcoholism: ',
'clinical and experimental research, 19(3), 600-606. ',
'https://doi.org/10.1111/j.1530-0277.1995.tb01554.x'
),
reference_identifier = c(
DOI = '10.1111/j.1530-0277.1995.tb01554.x'
),
interpretation = paste0(
'Higher scores indicate greater craving of alcohol'
),
values_and_labels = list(
content = 1:7,
additional_content = c(
'Strongly disagree',
'',
'',
'',
'',
'',
'Strongly agree'
)
)
)
### Subscales
if ( subscale != '' ) {
### Urge
if ( subscale %in% c( 'URGE', 'Urge', 'urge' ) ) {
out$Description <- paste0(
'Scores for the AUQ Urge subscale - measure of the urge ',
'to consume alcohol'
)
out$Units <- 'Mean score'
out$Subscale <- list(
name = 'Alcohol Consumption Urge',
n_items = 3,
range = c( Min = 0, Max = 4 ),
cut_off = NA,
interpretation = paste0(
'Higher scores indicate greater urge to consume alcohol'
)
)
# Close 'Urge'
}
# Close 'Subscales'
}
# Close 'AUQ'
}
#### 1.5) AIS ####
if ( abbreviation == 'AIS' ) {
out$Description <- paste0(
'Scores for the AIS - measure of the degree of insomnia ',
'experienced by a subject'
)
out$Units <- "Summed score"
out$Scale <- list(
name = 'Athens Insomnia Scale',
n_items = 8,
range = c( Min = 0, Max = 24 ),
abbreviation = 'AIS',
cut_off = c(
`Insomnia` = 6
),
reference = c(
paste0(
'Soldatos, C. R., Dikeos, D.G., & Paparrigopoulos, T.J. ',
'(2000). Athens insomnia scale: Validation of an ',
'instrument based on ICD-10 criteria. Journal of ',
'Psychosomatic Research, 48 (6), 555–560. ',
'https://doi.org/10.1016/s0022-3999(00)00095-7'
),
paste0(
'Soldatos, C. R., Dikeos, D. G., & Paparrigopoulos, T. J. ',
'(2003). The diagnostic validity of the Athens Insomnia Scale. ',
'Journal of Psychosomatic Research, 55 (3), 263-267. ',
'https://doi.org/10.1016/S0022-3999(02)00604-9'
)
),
reference_identifier = c(
DOI = '10.1016/s0022-3999(00)00095-7',
DOI = '10.1016/S0022-3999(02)00604-9'
),
interpretation = paste0(
"Higher scores indicate a greater degree of insomnia"
),
values_and_labels = ""
)
# Close 'AIS'
}
#### 1.6) BIS-11 ####
if ( abbreviation %in% c( 'BIS', 'BIS-11' ) ) {
### Overall
out$Description <- paste0(
'Scores for the AIS - measure of the degree of insomnia ',
'experienced by a subject'
)
out$Units <- "Summed score"
out$Scale <- list(
name = 'Barratt Impulsiveness Scale',
n_items = 30,
range = c( Min = 30, Max = 120 ),
abbreviation = 'BIS-11',
cut_off = c( High = 72 ),
reference = paste0(
'Patton, J. H., Stanford, M. S., & Barratt, E. S. (1995). ',
'Factor structure of the Barratt Impulsiveness Scale. ',
'Journal of clinical psychology, 51(6), 768-774. ',
'https://doi.org/10.1002/1097-4679(199511)51:6<',
'768::AID-JCLP2270510607>3.0.CO;2-1'
),
reference_identifier = c(
paste0(
DOI = '10.1002/1097-4679(199511)51:6<',
'768::AID-JCLP2270510607>3.0.CO;2-1'
)
),
interpretation = paste0(
'Higher scores indicate greater impulsivity'
),
values_and_labels = list(
content = 1:4,
additional_content = c( "", "", "", "" )
)
)
### Subscales
if ( subscale != '' ) {
### Attentional
if ( subscale %in% c( 'Attentional', 'attentional' ) ) {
out$Description <- paste0(
'Scores for the BIS-11 Attentional Facet - ',
'measure of attention span'
)
out$Units <- 'Summed score'
out$Subscale <- list(
name = 'Attentional',
n_items = 8,
range = c( Min = 8, Max - 32 ),
cut_off = NA,
interpretation = paste0(
'Higher scores indicate poorer attention span and ',
'poorer cognitive stability'
)
)
# Close 'Attentional'
}
### Motor
if ( subscale %in% c( 'Motor', 'motor' ) ) {
out$Description <- paste0(
'Scores for the BIS-11 Motor Facet - ',
'measure of control over motor impulses'
)
out$Units <- 'Summed score'
out$Subscale <- list(
name = 'Motor',
n_items = 11,
range = c( 11, 44 ),
cut_off = NA,
interpretation = paste0(
'Higher scores indicate poorer control over ',
'motor actions'
)
)
# Close 'Motor'
}
### Planning
if ( subscale %in% c( 'Planning', 'planning' ) ) {
out$Description <- paste0(
'Scores for the BIS-11 Planning Facet - ',
'measure of control in planning for the future'
)
out$Units <- 'Summed score'
out$Subscale <- list(
name = 'Planning',
n_items = 11,
range = c( Min = 11, Max = 44 ),
cut_off = NA,
interpretation = paste0(
'Higher scores indicate poorer self-control ',
'in planning for the future'
)
)
# Close 'Planning'
}
# Close 'Subscales'
}
# Close 'BIS-11'
}
#### 1.7) BRIEF CHECK!!! ####
if ( abbreviation %in% c( 'BRIEF', 'BRIEF-A' ) ) {
out$Description <- paste0(
'Scores for the BRIEF - measure of executive ',
'function impairment for adolescents'
)
out$Units <- 'Summed score'
out$Scale <- list(
name = 'Behavior Rating Inventory of Executive Function',
n_items = 75,
range = c( Min = 75, Max = 525 ),
abbreviation = 'BRIEF',
cut_off = NA,
reference = paste0(
'Baron, I. S. (2000). Behavior Rating Inventory of ',
'Executive Function. Child Neuropsychology, 6(3), 235–238. ',
'https://doi.org/10.1076/chin.6.3.235.3152'
),
reference_identifier = c(
),
interpretation = paste0(
'Higher scores indicate poorer executive function'
)
)
# Close 'BRIEF'
}
#### 1.8) BRIEF2 CHECK!!! ####
if ( abbreviation %in% c( 'BRIEF2' ) ) {
out$Description <- NULL
out$Units <- NULL
out$Scale <- list(
name = 'Behavior Rating Inventory of Executive Function - 2nd Edition',
n_items = 55,
range = c( Min = NA, Max = NA ),
abbreviation = 'BRIEF2',
cut_off = NA,
reference = paste0(
'Hendrickson, N. K., & McCrimmon, A. W. (2019). ',
'Test Review: Behavior Rating Inventory of Executive ',
'Function®, Second Edition (BRIEF®2) by Gioia, G. A., ',
'Isquith, P. K., Guy, S. C., & Kenworthy, L. Canadian ',
'Journal of School Psychology, 34 (1), 73–78. ',
'https://doi.org/10.1177/0829573518797762'
),
reference_identifier = c(
DOI = "10.1177/0829573518797762"
),
interpretation = "",
values_and_labels = list(
content = 1:3,
additional_content = c( 'Never', 'Sometimes', 'Often' )
)
)
### Subscales
if ( subscale != '' ) {
#### 1.8.1) Scores for Inhibit subscale ####
### Inhibit (Raw)
if ( subscale == 'Inhibit (Raw)' ) {
out$Description <- paste0(
'Raw score for the BRIEF2 inhibit subscale - ',
'measure of inhibitory control and impulsivity'
)
out$Units <- "Summed score"
out$Subscale <- list(
name = 'Inhibit (Raw)',
n_items = 8,
range = c( Min = 8, Max = 24 ),
cut_off = NA,
interpretation = paste0(
"Higher scores indicate less inhibitory control and ",
"greater impulsivity"
)
)
# Close 'Inhibit (Raw)'
}
### Inhibit (Percentile)
if ( subscale == 'Inhibit (Percentile)' ) {
out$Description <- paste0(
'Percentile rank for the BRIEF2 inhibit subscale - ',
'measure of inhibitory control and impulsivity'
)
out$Units <- "Percentile rank"
out$Subscale <- list(
name = 'Inhibit (Percentile)',
n_items = 8,
range = c( Min = 0, Max = 100 ),
cut_off = NA,
interpretation = paste0(
"Higher scores indicate less inhibitory control and ",
"greater impulsivity"
)
)
# Close 'Inhibit (Percentile)'
}
### Inhibit (T-score)
if ( subscale == 'Inhibit (T-score)' ) {
out$Description <- paste0(
'T-score for the BRIEF2 inhibit subscale - ',
'measure of inhibitory control and impulsivity'
)
out$Units <- "T-score"
out$Subscale <- list(
name = 'Inhibit (T-score)',
n_items = 8,
range = c( Mean = 50, SD = 10 ),
cut_off = c( `Clinically elevated` = 70 ),
interpretation = paste0(
"Higher scores indicate less inhibitory control and ",
"greater impulsivity"
)
)
# Close 'Inhibit (T-score)'
}
#### 1.8.2) Scores for Self-Monitor subscale ####
### Self-Monitor (Raw)
if ( subscale == 'Self-Monitor (Raw)' ) {
out$Description <- paste0(
'Raw score for the BRIEF2 self-monitor subscale - ',
'measure of how aware individuals are on the impact of ',
'their behavior on others and outcomes'
)
out$Units <- "Summed score"
out$Subscale <- list(
name = 'Self-Monitor (Raw)',
n_items = 5,
range = c( Min = 5, Max = 15 ),
cut_off = NA,
interpretation = paste0(
"Higher scores indicate greater difficulty in ",
"monitoring impact of one's behavior"
)
)
# Close 'Self-Monitor (Raw)'
}
### Self-Monitor (Percentile)
if ( subscale == 'Self-Monitor (Percentile)' ) {
out$Description <- paste0(
'Percentile rank for the BRIEF2 self-monitor subscale - ',
'measure of how aware individuals are on the impact of ',
'their behavior on others and outcomes'
)
out$Units <- "Percentile rank"
out$Subscale <- list(
name = 'Self-Monitor (Percentile)',
n_items = 5,
range = c( Min = 0, Max = 100 ),
cut_off = NA,
interpretation = paste0(
"Higher scores indicate greater difficulty in ",
"monitoring impact of one's behavior"
)
)
# Close 'Self-Monitor (Percentile)'
}
### Self-Monitor (T-score)
if ( subscale == 'Self-Monitor (T-score)' ) {
out$Description <- paste0(
'T-score for the BRIEF2 self-Monitor subscale - ',
'measure of how aware individuals are on the impact of ',
'their behavior on others and outcomes'
)
out$Units <- "T-score"
out$Subscale <- list(
name = 'Self-Monitor (T-score)',
n_items = 5,
range = c( Mean = 50, SD = 10 ),
cut_off = c( `Clinically elevated` = 70 ),
interpretation = paste0(
"Higher scores indicate greater difficulty in ",
"monitoring impact of one's behavior"
)
)
# Close 'Self-Monitor (T-score)'
}
#### 1.8.3) Scores for Shift subscale ####
### Shift (Raw)
if ( subscale == 'Shift (Raw)' ) {
out$Description <- paste0(
'Raw score for the BRIEF2 shift subscale - ',
'measure of ability to adapt to different ',
'situations or activities or problems as ',
'circumstance demands'
)
out$Units <- "Summed score"
out$Subscale <- list(
name = 'Shift (Raw)',
n_items = 8,
range = c( Min = 8, Max = 24 ),
cut_off = NA,
interpretation = paste0(
"Higher scores indicate a greater tendency ",
"to get stuck or focused on a given topic or problem"
)
)
# Close 'Shift (Raw)'
}
### Shift (Percentile)
if ( subscale == 'Shift (Percentile)' ) {
out$Description <- paste0(
'Percentile rank for the BRIEF2 shift subscale - ',
'measure of ability to adapt to different ',
'situations or activities or problems as ',
'circumstance demands'
)
out$Units <- "Percentile rank"
out$Subscale <- list(
name = 'Shift (Percentile)',
n_items = 8,
range = c( Min = 0, Max = 100 ),
cut_off = NA,
interpretation = paste0(
"Higher scores indicate a greater tendency ",
"to get stuck or focused on a given topic or problem"
)
)
# Close 'Shift (Percentile)'
}
### Shift (T-score)
if ( subscale == 'Shift (T-score)' ) {
out$Description <- paste0(
'T-score for the BRIEF2 shift subscale - ',
'measure of ability to adapt to different ',
'situations or activities or problems as ',
'circumstance demands'
)
out$Units <- "T-score"
out$Subscale <- list(
name = 'Shift (T-score)',
n_items = 8,
range = c( Mean = 50, SD = 10 ),
cut_off = c( `Clinically elevated` = 70 ),
interpretation = paste0(
"Higher scores indicate a greater tendency ",
"to get stuck or focused on a given topic or problem"
)
)
# Close 'Shift (T-score)'
}
#### 1.8.4) Scores for Emotional Control subscale ####
### Emotional control (Raw)
if ( subscale == 'Emotional Control (Raw)' ) {
out$Description <- paste0(
'Raw score for the BRIEF2 emotional control subscale - ',
'measure of impact of executive function on emotional ',
'expression and ability to modulate emotional responses'
)
out$Units <- "Summed score"
out$Subscale <- list(
name = 'Emotional Control (Raw)',
n_items = 6,
range = c( Min = 6, Max = 18 ),
cut_off = NA,
interpretation = paste0(
"Higher scores indicate a greater tendency to ",
"have overblown emotional reactions to minor events"
)
)
# Close 'Emotional Control (Raw)'
}
### Emotional Control (Percentile)
if ( subscale == 'Emotional Control (Percentile)' ) {
out$Description <- paste0(
'Percentile rank for the BRIEF2 emotional control subscale - ',
'measure of impact of executive function on emotional ',
'expression and ability to modulate emotional responses'
)
out$Units <- "Percentile rank"
out$Subscale <- list(
name = 'Emotional Control (Percentile)',
n_items = 6,
range = c( Min = 0, Max = 100 ),
cut_off = NA,
interpretation = paste0(
"Higher scores indicate a greater tendency to ",
"have overblown emotional reactions to minor events"
)
)
# Close 'Emotional Control (Percentile)'
}
### Emotional Control (T-score)
if ( subscale == 'Emotional Control (T-score)' ) {
out$Description <- paste0(
'T-score for the BRIEF2 emotional control subscale - ',
'measure of impact of executive function on emotional ',
'expression and ability to modulate emotional responses'
)
out$Units <- "T-score"
out$Subscale <- list(
name = 'Emotional Control (T-score)',
n_items = 6,
range = c( Mean = 50, SD = 10 ),
cut_off = c( `Clinically elevated` = 70 ),
interpretation = paste0(
"Higher scores indicate a greater tendency to ",
"have overblown emotional reactions to minor events"
)
)
# Close 'Emotional Control (T-score)'
}
#### 1.8.5) Scores for Task Completion subscale ####
### Task Completion (Raw)
if ( subscale == 'Task Completion (Raw)' ) {
out$Description <- paste0(
'Raw score for the BRIEF2 task completion subscale - ',
'measure of ability to independently generate ideas or ',
'responses or problem-solving strategies and finish a task'
)
out$Units <- "Summed score"
out$Subscale <- list(
name = 'Task Completion (Raw)',
n_items = 7,
range = c( Min = 7, Max = 21 ),
cut_off = NA,
interpretation = paste0(
"Higher scores indicate greater difficulty in generating ",
"problem-solving approaches and completing tasks"
)
)
# Close 'Task Completion (Raw)'
}
### Task Completion (Percentile)
if ( subscale == 'Task Completion (Percentile)' ) {
out$Description <- paste0(
'Percentile rank for the BRIEF2 task completion subscale - ',
'measure of ability to independently generate ideas or ',
'responses or problem-solving strategies and finish a task'
)
out$Units <- "Percentile rank"
out$Subscale <- list(
name = 'Task Completion (Percentile)',
n_items = 7,
range = c( Min = 0, Max = 100 ),
cut_off = NA,
interpretation = paste0(
"Higher scores indicate greater difficulty in generating ",
"problem-solving approaches and completing tasks"
)
)
# Close 'Task Completion (Percentile)'
}
### Task Completion (T-score)
if ( subscale == 'Task Completion (T-score)' ) {
out$Description <- paste0(
'T-score for the BRIEF2 task completion subscale - ',
'measure of ability to independently generate ideas or ',
'responses or problem-solving strategies and finish a task'
)
out$Units <- "T-score"
out$Subscale <- list(
name = 'Task Completion (T-score)',
n_items = 7,
range = c( Mean = 50, SD = 10 ),
cut_off = c( `Clinically elevated` = 70 ),
interpretation = paste0(
"Higher scores indicate greater difficulty in generating ",
"problem-solving approaches and completing tasks"
)
)
# Close 'Task Completion (T-score)'
}
#### 1.8.6) Scores for Working Memory subscale ####
### Working Memory (Raw)
if ( subscale == 'Working Memory (Raw)' ) {
out$Description <- paste0(
'Raw score for the BRIEF2 working memory subscale - ',
'measure of online representational memory - capacity ',
'to hold or encode information in mind'
)
out$Units <- "Summed score"
out$Subscale <- list(
name = 'Working Memory (Raw)',
n_items = 8,
range = c( Min = 8, Max = 24 ),
cut_off = NA,
interpretation = paste0(
"Higher scores indicate greater difficulty in ",
"keeping relevant information in mind for problem ",
"solving"
)
)
# Close 'Working Memory (Raw)'
}
### Working Memory (Percentile)
if ( subscale == 'Working Memory (Percentile)' ) {
out$Description <- paste0(
'Percentile rank for the BRIEF2 working memory subscale - ',
'measure of online representational memory - capacity ',
'to hold or encode information in mind'
)
out$Units <- "Percentile rank"
out$Subscale <- list(
name = 'Working Memory (Percentile)',
n_items = 8,
range = c( Min = 0, Max = 100 ),
cut_off = NA,
interpretation = paste0(
"Higher scores indicate greater difficulty in ",
"keeping relevant information in mind for problem ",
"solving"
)
)
# Close 'Working Memory (Percentile)'
}
### Working Memory (T-score)
if ( subscale == 'Working Memory (T-score)' ) {
out$Description <- paste0(
'T-score for the BRIEF2 working memory subscale - ',
'measure of online representational memory - capacity ',
'to hold or encode information in mind'
)
out$Units <- "T-score"
out$Subscale <- list(
name = 'Working Memory (T-score)',
n_items = 8,
range = c( Mean = 50, SD = 10 ),
cut_off = c( `Clinically elevated` = 70 ),
interpretation = paste0(
"Higher scores indicate greater difficulty in ",
"keeping relevant information in mind for problem ",
"solving"
)
)
# Close 'Working Memory (T-score)'
}
#### 1.8.7) Scores for Plan|Organize subscale ####
### Plan|Organize (Raw)
if ( subscale == 'Plan|Organize (Raw)' ) {
out$Description <- paste0(
'Raw score for the BRIEF2 plan|organize subscale - ',
'measure of ability to mange current and future-oriented ',
'task demands'
)
out$Units <- "Summed score"
out$Subscale <- list(
name = 'Plan|Organize (Raw)',
n_items = 10,
range = c( Min = 10, Max = 30 ),
cut_off = NA,
interpretation = paste0(
"Higher scores indicate greater difficulty in planning ",
"and organizing"
)
)
# Close 'Plan|Organize (Raw)'
}
### Plan|Organize (Percentile)
if ( subscale == 'Plan|Organize (Percentile)' ) {
out$Description <- paste0(
'Percentile rank for the BRIEF2 plan|organize subscale - ',
'measure of ability to mange current and future-oriented ',
'task demands'
)
out$Units <- "Percentile rank"
out$Subscale <- list(
name = 'Plan|Organize (Percentile)',
n_items = 10,
range = c( Min = 0, Max = 100 ),
cut_off = NA,
interpretation = paste0(
"Higher scores indicate greater difficulty in planning ",
"and organizing"
)
)
# Close 'Plan|Organize (Percentile)'
}
### Plan|Organize (T-score)
if ( subscale == 'Plan|Organize (T-score)' ) {
out$Description <- paste0(
'T-score for the BRIEF2 plan|organize subscale - ',
'measure of ability to mange current and future-oriented ',
'task demands'
)
out$Units <- "T-score"
out$Subscale <- list(
name = 'Plan|Organize (T-score)',
n_items = 10,
range = c( Mean = 50, SD = 10 ),
cut_off = c( `Clinically elevated` = 70 ),
interpretation = paste0(
"Higher scores indicate greater difficulty in planning ",
"and organizing"
)
)
# Close 'Plan|Organize (T-score)'
}
#### 1.8.8) Scores for Behavioral Regulation subscale ####
### Behavioral Regulation (Raw)
if ( subscale == 'Behavioral Regulation (Raw)' ) {
out$Description <- paste0(
'Raw score for the BRIEF2 behavioral regulation subscale - ',
'measure of ability to regulate and monitor behavior ',
'effectively'
)
out$Units <- "Summed score"
out$Subscale <- list(
name = 'Behavioral Regulation (Raw)',
n_items = 13,
range = c( Min = 13, Max = 39 ),
cut_off = NA,
interpretation = paste0(
"Higher scores indicate greater difficulty in ",
"behavioral regulation"
)
)
# Close 'Behavioral Regulation (Raw)'
}
### Behavioral Regulation (Percentile)
if ( subscale == 'Behavioral Regulation (Percentile)' ) {
out$Description <- paste0(
'Percentile rank for the BRIEF2 behavioral regulation subscale - ',
'measure of ability to regulate and monitor behavior ',
'effectively'
)
out$Units <- "Percentile rank"
out$Subscale <- list(
name = 'Behavioral Regulation (Percentile)',
n_items = 13,
range = c( Min = 0, Max = 100 ),
cut_off = NA,
interpretation = paste0(
"Higher scores indicate greater difficulty in ",
"behavioral regulation"
)
)
# Close 'Behavioral Regulation (Percentile)'
}
### Behavioral Regulation (T-score)
if ( subscale == 'Behavioral Regulation (T-score)' ) {
out$Description <- paste0(
'T-score for the BRIEF2 behavioral regulation subscale - ',
'measure of ability to regulate and monitor behavior ',
'effectively'
)
out$Units <- "T-score"
out$Subscale <- list(
name = 'Behavioral Regulation (T-score)',
n_items = 13,
range = c( Mean = 50, SD = 10 ),
cut_off = c( `Clinically elevated` = 70 ),
interpretation = paste0(
"Higher scores indicate greater difficulty in ",
"behavioral regulation"
)
)
# Close 'Behavioral Regulation (T-score)'
}
#### 1.8.9) Scores for Emotion Regulation subscale ####
### Emotion Regulation (Raw)
if ( subscale == 'Emotion Regulation (Raw)' ) {
out$Description <- paste0(
'Raw score for the BRIEF2 emotion regulation subscale - ',
'measure of ability to regulate emotional responses ',
'and to adapt to changes in situations and demands'
)
out$Units <- "Summed score"
out$Subscale <- list(
name = 'Emotion Regulation (Raw)',
n_items = 14,
range = c( Min = 14, Max = 42 ),
cut_off = NA,
interpretation = paste0(
"Higher scores indicate greater difficulty in ",
"emotional regulation"
)
)
# Close 'Emotion Regulation (Raw)'
}
### Emotion Regulation (Percentile)
if ( subscale == 'Emotion Regulation (Percentile)' ) {
out$Description <- paste0(
'Percentile rank for the BRIEF2 emotion regulation subscale - ',
'measure of ability to regulate emotional responses ',
'and to adapt to changes in situations and demands'
)
out$Units <- "Percentile rank"
out$Subscale <- list(
name = 'Emotion Regulation (Percentile)',
n_items = 14,
range = c( Min = 0, Max = 100 ),
cut_off = NA,
interpretation = paste0(
"Higher scores indicate greater difficulty in ",
"emotional regulation"
)
)
# Close 'Emotion Regulation (Percentile)'
}
### Emotion Regulation (T-score)
if ( subscale == 'Emotion Regulation (T-score)' ) {
out$Description <- paste0(
'T-score for the BRIEF2 emotion regulation subscale - ',
'measure of ability to regulate emotional responses ',
'and to adapt to changes in situations and demands'
)
out$Units <- "T-score"
out$Subscale <- list(
name = 'Emotion Regulation (T-score)',
n_items = 14,
range = c( Mean = 50, SD = 10 ),
cut_off = c( `Clinically elevated` = 70 ),
interpretation = paste0(
"Higher scores indicate greater difficulty in ",
"emotional regulation"
)
)
# Close 'Emotion Regulation (T-score)'
}
#### 1.8.10) Scores for Cognitive Regulation subscale ####
### Cognitive Regulation (Raw)
if ( subscale == 'Cognitive Regulation (Raw)' ) {
out$Description <- paste0(
'Raw score for the BRIEF2 cognitive regulation subscale - ',
'measure of ability to control and manage cognitive processes ',
'and to problem-solve effectively'
)
out$Units <- "Summed score"
out$Subscale <- list(
name = 'Cognitive Regulation (Raw)',
n_items = 25,
range = c( Min = 25, Max = 75 ),
cut_off = NA,
interpretation = paste0(
"Higher scores indicate greater difficulty in ",
"cognitive regulation"
)
)
# Close 'Cognitive Regulation (Raw)'
}
### Cognitive Regulation (Percentile)
if ( subscale == 'Cognitive Regulation (Percentile)' ) {
out$Description <- paste0(
'Percentile rank for the BRIEF2 cognitive regulation subscale - ',
'measure of ability to control and manage cognitive processes ',
'and to problem-solve effectively'
)
out$Units <- "Percentile rank"
out$Subscale <- list(
name = 'Cognitive Regulation (Percentile)',
n_items = 25,
range = c( Min = 0, Max = 100 ),
cut_off = NA,
interpretation = paste0(
"Higher scores indicate greater difficulty in ",
"cognitive regulation"
)
)
# Close 'Cognitive Regulation (Percentile)'
}
### Cognitive Regulation (T-score)
if ( subscale == 'Cognitive Regulation (T-score)' ) {
out$Description <- paste0(
'T-score for the BRIEF2 cognitive regulation subscale - ',
'measure of ability to control and manage cognitive processes ',
'and to problem-solve effectively'
)
out$Units <- "T-score"
out$Subscale <- list(
name = 'Cognitive Regulation (T-score)',
n_items = 25,
range = c( Mean = 50, SD = 10 ),
cut_off = c( `Clinically elevated` = 70 ),
interpretation = paste0(
"Higher scores indicate greater difficulty in ",
"cognitive regulation"
)
)
# Close 'Cognitive Regulation (T-score)'
}
#### 1.8.11) Scores for General Executive subscale ####
### General Executive (Raw)
if ( subscale == 'General Executive (Raw)' ) {
out$Description <- paste0(
'Raw score for the BRIEF2 general executive subscale - ',
'measure of general executive functioning'
)
out$Units <- "Summed score"
out$Subscale <- list(
name = 'General Executive (Raw)',
n_items = 55,
range = c( Min = 55, Max = 165 ),
cut_off = NA,
interpretation = paste0(
"Higher scores indicate greater overall problems in ",
"general executive functioning"
)
)
# Close 'General Executive (Raw)'
}
### General Executive (Percentile)
if ( subscale == 'General Executive (Percentile)' ) {
out$Description <- paste0(
'Percentile rank for the BRIEF2 general executive subscale - ',
'measure of general executive functioning'
)
out$Units <- "Percentile rank"
out$Subscale <- list(
name = 'General Executive (Percentile)',
n_items = 55,
range = c( Min = 0, Max = 100 ),
cut_off = NA,
interpretation = paste0(
"Higher scores indicate greater overall problems in ",
"general executive functioning"
)
)
# Close 'General Executive (Percentile)'
}
### General Executive (T-score)
if ( subscale == 'General Executive (T-score)' ) {
out$Description <- paste0(
'T-score for the BRIEF2 general executive subscale - ',
'measure of general executive functioning'
)
out$Units <- "T-score"
out$Subscale <- list(
name = 'General Executive (T-score)',
n_items = 55,
range = c( Mean = 50, SD = 10 ),
cut_off = c( `Clinically elevated` = 70 ),
interpretation = paste0(
"Higher scores indicate greater overall problems in ",
"general executive functioning"
)
)
# Close 'General Executive (T-score)'
}
# Close 'Subscales'
}
# Close 'BRIEF2'
}
#### 1.9) BPI ####
if ( abbreviation %in% c( 'BPI', 'BPI-SF' ) ) {
### Overall
out$Description = NULL
out$Units = NULL
out$Scale <- list(
name = 'Brief Pain Inventory (Short form)',
n_items = 11,
range = c( Min = NA, Max = NA ),
abbreviation = 'BPI-SF',
cut_off = NA,
reference = paste0(
'Cleeland, C. S., & Ryan, K. M. (1994). Pain assessment: ',
'Global use of the Brief Pain Inventory. Annals of the ',
'Academy of Medicine, Singapore, 23(2), 129-138. '
),
reference_identifier = c(
PMID = "8080219"
),
interpretation = "",
values_and_labels = ""
)
### Subscales
if ( subscale != '' ) {
### Severity
if ( subscale == 'Severity' ) {
out$Description <- paste0(
'Scores for the BPI severity subscale - measure of the ',
'degree of pain severity experienced by a subject ',
'within the last 24 hours'
)
out$Units <- "Mean score"
out$Subscale <- list(
name = 'Pain severity',
n_items = 4,
range = c( Min = 0, Max = 10 ),
cut_off = NA,
interpretation = paste0(
"Higher scores indicate greater pain severity ",
"in the last 24 hours"
)
)
# Close 'Severity'
}
### Interference
if ( subscale == 'Interference' ) {
out$Description <- paste0(
'Scores for the BPI interference subscale - measure of ',
'the extent pain for a participant interfered with daily ',
'functioning'
)
out$Units <- "Mean score"
out$Subscale <- list(
name = 'Pain interference',
n_items = 7,
range = c( Min = 0, Max = 10 ),
cut_off = NA,
interpretation = paste0(
"Higher scores indicate greater pain interference ",
"in daily function"
)
)
# Close 'Interference'
}
# Close 'Subscales'
}
# Close 'BPI'
}
#### 1.10) BPAQ ####
if ( abbreviation %in% c( 'BPAQ' ) ) {
### Overall
out$Description = paste0(
"Total score for the BPAQ - measure of the degree of ",
"an individual's general aggression"
)
out$Units = "Summed score"
out$Scale <- list(
name = 'Buss-Perry Aggression Questionnaire',
n_items = 29,
range = c( Min = 29, Max = 145 ),
abbreviation = 'BPAQ',
cut_off = NA,
reference = paste0(
'Buss, A. H., & Perry, M. (1992). The Aggression ',
'Questionnaire. Journal of Personality and Social ',
'Psychology, 63 (3), 452-459. ',
'https://doi.org/10.1037/0022-3514.63.3.452'
),
reference_identifier = c(
DOI = "10.1037/0022-3514.63.3.452"
),
interpretation = "",
values_and_labels = list(
content = 1:5,
additional_content = c(
"Extremely uncharacteristic",
"Somewhat uncharacteristic",
"Neither uncharacteristic or characteristic",
"Somewhat characteristic",
"Extremely characteristic"
)
)
)
### Subscales
if ( subscale != '' ) {
### Physical Aggression
if ( subscale %in% c( 'Physical Aggression', 'BPAQ-PA' ) ) {
out$Description <- paste0(
'Scores for the BPAQ-PA – measure of the level of physical ',
'aggression of a subject'
)
out$Units <- 'Summed score'
out$Subscale <- list(
name = 'Physical Aggression',
n_items = 9,
range = c( Min = 9, Max = 45 ),
cut_off = NA,
interpretation = paste0(
'Higher scores indicate higher physically aggressive behavior'
)
)
# Close 'Physical Aggression'
}
### Verbal Aggression
if ( subscale %in% c( 'Verbal Aggression', 'BPAQ-VA' ) ) {
out$Description <- paste0(
'Scores for the BPAQ-VA – measure of the level of verbal ',
'aggression of a subject'
)
out$Units <- 'Mean score'
out$Subscale <- list(
name = 'Verbal Aggression',
n_items = 5,
range = c( Min = 5, Max = 25 ),
cut_off = NA,
interpretation = paste0(
'Higher scores indicate higher verbally aggressive behavior'
)
)
# Close 'Verbal Aggression'
}
### Anger
if ( subscale %in% c( 'Anger', 'BPAQ-A' ) ) {
out$Description <- paste0(
'Scores for the BPAQ-A – measure of the level of anger of a subject'
)
out$Units <- 'Mean score'
out$Subscale <- list(
name = 'Anger',
n_items = 7,
range = c( Min = 7, Max = 35 ),
cut_off = NA,
interpretation = paste0(
'Higher scores indicate higher anger'
)
)
# Close 'Anger'
}
### Hostility
if ( subscale %in% c( 'Hostility', 'BPAQ-H' ) ) {
out$Description <- paste0(
'Scores for the BPAQ-H – measure of the level of hostility of ',
'a subject'
)
out$Units <- 'Mean score'
out$Subscale <- list(
name = 'Hostility',
n_items = 8,
range = c( Min = 8, Max = 40 ),
cut_off = NA,
interpretation = paste0(
'Higher scores indicate higher hostility'
)
)
# Close 'Hostility'
}
# Close 'Subscales'
}
# Close 'BPAQ'
}
#### 1.11) CUDIT-R ####
if ( abbreviation %in% c( 'CUDIT', 'CUDIT-R' ) ) {
out$Description <- paste0(
'Scores for the CUDIT-R - measure ',
'of the degree of problematic cannabis use behavior ',
'for a subject'
)
out$Units <- "Summed score"
out$Scale <- list(
name = 'Cannabis Use Disorder Identification Test - Revised',
n_items = 8,
range = c( Min = 0, Max = 32 ),
abbreviation = 'CUDIT-R',
cut_off = c( Hazardous = 8, Possible_disorder = 12 ),
reference = paste0(
'Adamson, S. J., Kay-Lambkin, F. J., Baker, A. L., ',
'Lewin, T. J., Thornton, L., Kelly, B. J., & Sellman, J. D. ',
'(2010) An improved brief measure of cannabis misuse: ',
'The cannabis use disorders identification test - revised ',
'(CUDIT-R). Drug and Alcohol Dependence, 110, 137-143. ',
'https://doi.org/10.1016/j.drugalcdep.2010.02.017'
),
reference_identifier = c(
DOI = "10.1016/j.drugalcdep.2010.02.017"
),
interpretation = paste0(
"Higher scores indicate more problematic cannabis use"
),
values_and_labels = ""
)
# Close 'CUDIT-R'
}
#### 1.12) CWS ####
if ( abbreviation %in% c( 'CWS' ) ) {
### Overall
out$Description = NULL
out$Units = NULL
out$Scale <- list(
name = 'Cannabis Withdrawal Scale',
n_items = 38,
range = c( Min = NA, Max = NA ),
abbreviation = 'CWS',
cut_off = NA,
reference = paste0(
'Allsop, D. J., Norberg, M. M., Copeland, J., Fu, S., & ',
'Budney, A. J. (2011). The Cannabis Withdrawal Scale development: ',
'Patterns and predictors of cannabis withdrawal and distress. ',
'Drug Alcohol Dependence, 119, 123-129. ',
'https://doi.org/10.1016/j.drugalcdep.2011.06.003'
),
reference_identifier = c(
DOI = "10.1016/j.drugalcdep.2011.06.003"
),
interpretation = "",
values_and_labels = list(
content = 0:10,
additional_content = c(
"Not at all", # 0
"", "", "", "", # 1 - 4
"Moderately", # 5
"", "", "", "", # 6 - 9
"Strongly agree" # 10
)
)
)
### Subscales
if ( subscale != '' ) {
### Intensity
if ( subscale %in% c( 'Intensity' ) ) {
out$Description <- paste0(
'Scores for the CWS intensity subscale - measure of ',
'intensity of cannabis withdrawal symptoms'
)
out$Units <- "Summed score"
out$Subscale <- list(
name = 'Intensity',
n_items = 19,
range = c( Min = 0, Max = 190 ),
cut_off = NA,
interpretation = paste0(
"Higher scores indicate more intense ",
"cannabis withdrawal symptoms"
)
)
# Close 'Intensity'
}
### Negative impact
if ( subscale == 'Negative impact' ) {
out$Description <- paste0(
'Scores for the CWS negative impact subscale - ',
'measure of distress or impairment in functioning ',
'due to withdrawal'
)
out$Units <- "Summed score"
out$Subscale <- list(
name = 'Negative impact',
n_items = 19,
range = c( Min = 0, Max = 190 ),
cut_off = NA,
interpretation = paste0(
"Higher scores indicate a greater degree of ",
"negative impact due to cannabis withdrawal"
)
)
# Close 'Negative impact'
}
# Close 'Subscales'
}
# Close 'CWS'
}
#### 1.13) CGI CHECK!!! ####
if ( abbreviation == 'CGI' ) {
### Overall
out$Description = NULL
out$Units = NULL
out$Scale <- list(
name = 'Clinical Global Impression scale',
n_items = 2,
range = c( Min = NA, Max = NA ),
abbreviation = 'CGI',
cut_off = NA,
reference = c(
paste0(
"Guy, W. (Ed.) (1976). ECDEU assessment manual for ",
"psychopharmacology. US Department of Heath, ",
"Education, and Welfare; Public Health Service ",
"Alcohol, Drug Abuse, and Mental Health Administration."
)
),
reference_identifier = c(
""
),
interpretation = "",
values_and_labels = list(
content = c( 1, 7, 1, 7 ),
additional_content = c(
"Not at all ill (Severity)",
"Among the most extremely ill patients (Severity)",
"Very much improved (Improvement)",
"Very much worse (Improvement)"
)
)
)
### Subscales
if ( subscale != '' ) {
### Severity
if ( subscale == 'Severity' ) {
out$Description <- paste0(
"Rating of illness severity at current time ",
"based on total clinical experience with particular ",
"population"
)
out$Units <- paste0(
"Likert scale"
)
out$Subscale <- list(
name = 'Severity of illness',
n_items = 1,
range = c( Min = 1, Max = 7 ),
cut_off = NA,
interpretation = paste0(
"Higher scores indicate indicate greater severity ",
"of illness"
)
)
# Close 'Severity'
}
### Improvement
if ( subscale == 'Improvement' ) {
out$Description <- paste0(
"Measure of total improvement irrespective of ",
"drug treatment compared to previous study ",
"visit for participant"
)
out$Units <- paste0(
"Likert scale"
)
out$Subscale <- list(
name = 'Global improvement',
n_items = 1,
range = c( Min = 1, Max = 7 ),
cut_off = NA,
interpretation = paste0(
"Higher scores indicate worsening of condition"
)
)
# Close 'Improvement'
}
# Close 'Subscales'
}
# Close 'CGI'
}
#### 1.14) CHRT ####
if ( abbreviation == 'CHRT' ) {
### Overall
out$Description <- paste0(
"Scores for the CHRT - measure of risk based on ",
"suicidal ideation and intent"
)
out$Units <- "Summed score"
out$Scale <- list(
name = 'Concise Health Risk Tracking scale',
n_items = 12,
range = c( Min = 0, Max = 48 ),
abbreviation = 'CHRT',
cut_off = c( NA ),
reference = c(
paste0(
"Trivedi, M. H., Wisniewski, S. R., Morris, D. W., Fava, M., ",
"Gollan, J. K., Warden, D., Nierenberg, A. A., Gaynes, B. N., ",
"Husain, M. M., Luther, J. F., Zisook, S., & Rush, A. J. ",
"(2011). Concise Health Risk Tracking scale: A brief ",
"self-report and clinician rating of suicidal risk. The ",
"Journal of Clinical Psychiatry, 72(6), 757-764. ",
"https://doi.org/10.4088/JCP.11m06837"
)
),
reference_identifier = c(
DOI = "10.4088/JCP.11m06837"
),
interpretation = paste0(
"Higher scores indicate greater risk of suicide"
),
values_and_labels = ""
)
### Subscales
if ( subscale != '' ) {
### Despair
if (subscale == 'Despair') {
out$Description <- paste0(
'Scores for the CHRT despair items - measure of ',
'degree of despair a person feels'
)
out$Units <- "Summed score"
out$Subscale <- list(
name = 'Despair',
n_items = 3,
range = c( Min = 0, Max = 12 ),
cut_off = NA,
interpretation = paste0(
"Higher scores indicate greater ",
"feelings of despair"
)
)
# Close 'Despair'
}
### Helplessness
if (subscale == 'Helplessness') {
out$Description <- paste0(
'Scores for the CHRT helplessness items - measure of ',
'how helpless a person feels'
)
out$Units <- "Summed score"
out$Subscale <- list(
name = 'Helplessness',
n_items = 2,
range = c( Min = 0, Max = 4 ),
cut_off = NA,
interpretation = paste0(
"Higher scores indicate greater ",
"feelings of helplessness"
)
)
# Close 'Helplessness'
}
### Lack of social support
if (subscale == 'Lack of social support') {
out$Description <- paste0(
'Scores for the CHRT lack of social support items',
' - measure of ',
'the degree a person feels a lack of social support'
)
out$Units <- "Summed score"
out$Subscale <- list(
name = 'Lack of social support',
n_items = 2,
range = c( Min = 0, Max = 4 ),
cut_off = NA,
interpretation = paste0(
"Higher scores indicate greater ",
"sense of a lack of social support"
)
)
# Close 'Lack of social support'
}
### Pessimism
if (subscale == 'Pessimism') {
out$Description <- paste0(
'Scores for the CHRT pessimism items',
' - measure of ',
'how pessimistic a person feels'
)
out$Units <- "Summed score"
out$Subscale <- list(
name = 'Pessimism',
n_items = 2,
range = c( Min = 0, Max = 8 ),
cut_off = NA,
interpretation = paste0(
"Higher scores indicate greater ",
"feelings of pessimism"
)
)
# Close 'Pessimism'
}
### Suicidal thoughts
if (subscale == 'Suicidal thoughts') {
out$Description <- paste0(
'Scores for the CHRT suicidal thought items',
' - measure of ',
'how often someone has suicidal thoughts'
)
out$Units <- "Summed score"
out$Subscale <- list(
name = 'Suicidal thoughts',
n_items = 3,
range = c( Min = 0, Max = 12 ),
cut_off = NA,
interpretation = paste0(
"Higher scores indicate more frequent ",
"occurences of suicidal thoughts"
)
)
# Close 'Suicidal thoughts'
}
### Propensity
if (subscale == 'Propensity') {
out$Description <- paste0(
'Scores for the CHRT propensity items',
' - measure of ',
'the propensity a person might have for suicide'
)
out$Units <- "Summed score"
out$Subscale <- list(
name = 'Propensity',
n_items = 9,
range = c( Min = 0, Max = 36 ),
cut_off = NA,
interpretation = paste0(
"Higher scores indicate a greater ",
"propensity towards suicide"
)
)
# Close 'Propensity'
}
# Close 'Subscales'
}
# Close 'CHRT'
}
#### 1.15) DOSPERT ####
if ( abbreviation == 'DOSPERT' ) {
### Overall
out$Description <- paste0(
"Scores for the DOSPERT - measure of propensity ",
"for risk-taking"
)
out$Units <- "Summed score"
out$Scale <- list(
name = 'Domain-Specific Risk-Taking Scale',
n_items = 90,
range = c( Min = 90, Max = 630 ),
abbreviation = 'DOSPERT',
cut_off = NA,
reference = paste0(
'Weber, E. U., Blais, A. R., & Betz, N. E. (2002). ',
'A domain‐specific risk‐attitude scale: Measuring ',
'risk perceptions and risk behaviors. Journal of ',
'behavioral decision making, 15 (4), 263-290. ',
'https://doi.org/10.1002/bdm.414'
),
reference_identifier = c(
DOI = "10.1002/bdm.414"
),
interpretation = paste0(
'Higher scores indicate greater propensity ',
'for risk-taking'
),
values_and_labels = ""
)
### Subscales
if ( subscale != '' ) {
### Ethical
if ( subscale %in% c( 'Ethical', 'ethical' ) ) {
out$Description <- paste0(
'Scores for the DOSPERT (E) - measure of ',
'risk-taking in ethical situations'
)
out$Units <- 'Summed score'
out$Subscale <- list(
name = 'Ethical',
n_items = 6,
range = c( Min = 6, Max = 42 ),
cut_off = NA,
interpretation = paste0(
'Higher scores indicate greater propensity ',
'to engage in ethically risky activities or behaviors'
)
)
# Close 'Ethical'
}
### Financial
if ( subscale %in% c( 'Financial', 'financial' ) ) {
out$Description <- paste0(
'Scores for the DOSPERT (F) - measure of ',
'risk-taking in financial situations'
)
out$Units <- 'Summed score'
out$Subscale <- list(
name = 'Financial',
n_items = 6,
range = c( Min = 6, Max = 42 ),
cut_off = NA,
interpretation = paste0(
'Higher scores indicate greater propensity ',
'to engage in financially risky activities or behaviors'
)
)
# Close 'Financial'
}
### Health/Safety
if ( subscale %in% c( 'Health/Safety', 'health/safety',
'Health/safety', 'Health', 'Safety',
'health', 'safety ' ) ) {
out$Description <- paste0(
'Scores for the DOSPERT (H/S) - measure of ',
'risk-taking in health/safety-related situations'
)
out$Units <- 'Summed score'
out$Subscale <- list(
name = 'Health/Safety',
n_items = 6,
range = c( Min = 6, Max = 42 ),
cut_off = NA,
interpretation = paste0(
'Higher scores indicate greater propensity ',
'to engage in activities or behaviors that pose ',
'a risk to personal health and safety'
)
)
# Close 'Health/Safety'
}
### Social
if ( subscale %in% c( 'Social', 'social' ) ) {
out$Description <- paste0(
'Scores for the DOSPERT (S) - measure of ',
'risk-taking in social situations'
)
out$Units <- 'Summed score'
out$Subscale <- list(
name = 'Social',
n_items = 6,
range = c( Min = 6, Max = 42 ),
cut_off = NA,
interpretation = paste0(
'Higher scores indicate greater propensity ',
'to engage in socially risky activities or behaviors'
)
)
# Close 'Social'
}
### Recreational
if ( subscale %in% c( 'Recreational', 'recreational' ) ) {
out$Description <- paste0(
'Scores for the DOSPERT (R) - measure of ',
'risk-taking in recreational situations'
)
out$Units <- 'Summed score'
out$Subscale <- list(
name = 'Recreational',
n_items = 6,
range = c( Min = 6, Max = 42 ),
cut_off = NA,
interpretation = paste0(
'Higher scores indicate greater propensity ',
'to engage in risky recreational activities'
)
)
# Close 'Recreational'
}
### Ethical Risk Perception
if ( subscale %in% c( 'Ethical Risk Perception',
'Ethical risk perception' ) ) {
out$Description <- paste0(
'Scores for the DOSPERT (EP) - measure of ',
'risk perception in ethical situations'
)
out$Units <- 'Summed score'
out$Subscale <- list(
name = 'Ethical Risk Perception',
n_items = 6,
range = c( Min = 6, Max = 42 ),
cut_off = NA,
interpretation = paste0(
'Higher scores indicate greater perception of risk ',
'in ethical situations'
)
)
# Close 'Ethical Risk Perception'
}
### Financial Risk Perception
if ( subscale %in% c( 'Financial Risk Perception',
'Financial risk perception' ) ) {
out$Description <- paste0(
'Scores for the DOSPERT (FP) - measure of ',
'risk perception in financial situations'
)
out$Units <- 'Summed score'
out$Subscale <- list(
name = 'Financial Risk Perception',
n_items = 6,
range = c( Min = 6, Max = 42 ),
cut_off = NA,
interpretation = paste0(
'Higher scores indicate greater perception of risk ',
'in financial situations'
)
)
# Close 'Financial Risk Perception'
}
### Health/Safety Risk Perception
if ( subscale %in% c( 'Health/Safety Risk Perception',
'Health/safety risk perception' ) ) {
out$Description <- paste0(
'Scores for the DOSPERT (H/SP) - measure of ',
'risk perception in health/safety-related situations'
)
out$Units <- 'Summed score'
out$Subscale <- list(
name = 'Health/Safety Risk Perception',
n_items = 6,
range = c( Min = 6, Max = 42 ),
cut_off = NA,
interpretation = paste0(
'Higher scores indicate greater perception of risk ',
'in health/safety-related situations'
)
)
# Close 'Health/Safety Risk Perception'
}
### Social Risk Perception
if ( subscale %in% c( 'Social Risk Perception',
'Social risk perception' ) ) {
out$Description <- paste0(
'Scores for the DOSPERT (SP) - measure of ',
'risk perception in social situations'
)
out$Units <- 'Summed score'
out$Subscale <- list(
name = 'Social Risk Perception',
n_items = 6,
range = c( Min = 6, Max = 42 ),
cut_off = NA,
interpretation = paste0(
'Higher scores indicate greater perception ',
'of risk in social situations'
)
)
# Close 'Social Risk Perception'
}
### Recreational Risk Perception
if ( subscale %in% c( 'Recreational Risk Perception',
'Recreational risk perception' ) ) {
out$Description <- paste0(
'Scores for the DOSPERT (RP) - measure of ',
'risk perception in recreational situations'
)
out$Units <- 'Summed score'
out$Subscale <- list(
name = 'Recreational Risk Perception',
n_items = 6,
range = c( Min = 6, Max = 42 ),
cut_off = NA,
interpretation = paste0(
'Higher scores indicate greater perception ',
'of risk in recreational situations'
)
)
# Close 'Recreational Risk Perception'
}
### Ethical Risk Benefit
if ( subscale %in% c( 'Ethical Risk Benefit',
'Ethical risk benefit' ) ) {
out$Description <- paste0(
'Scores for the DOSPERT (EB) - measure of expected ',
'benefit of risk-taking in ethical situations'
)
out$Units <- 'Summed score'
out$Subscale <- list(
name = 'Ethical Risk Benefit',
n_items = 6,
range = c( Min = 6, Max = 42 ),
cut_off = NA,
interpretation = paste0(
'Higher scores indicate greater expected ',
'benefits from risk-taking in ethical situations'
)
)
# Close 'Ethical Risk Benefit'
}
### Financial Risk Benefit
if ( subscale %in% c( 'Financial Risk Benefit',
'Financial risk benefit' ) ) {
out$Description <- paste0(
'Scores for the DOSPERT (FB) - measure of expected ',
'benefit of risk-taking in financial situations'
)
out$Units <- 'Summed score'
out$Subscale <- list(
name = 'Financial Risk Benefit',
n_items = 6,
range = c( Min = 6, Max = 42 ),
cut_off = NA,
interpretation = paste0(
'Higher scores indicate greater expected ',
'benefits from risk-taking in financial situations'
)
)
# Close 'Financial Risk Benefit'
}
### Health/Safety Risk Benefit
if ( subscale %in% c( 'Heatlh/Safety Risk Benefit',
'Health/safety risk benefit' ) ) {
out$Description <- paste0(
'Scores for the DOSPERT (H/SB) - measure of expected ',
'benefit of risk-taking in health/safety-related ',
'situations'
)
out$Units <- 'Summed score'
out$Subscale <- list(
name = 'Health/Safety Risk Benefit',
n_items = 6,
range = c( Min = 6, Max = 42 ),
cut_off = NA,
interpretation = paste0(
'Higher scores indicate greater expected ',
'benefits from risk-taking in health/safety-',
'related situations'
)
)
# Close 'Health/Safety Risk Benefit'
}
### Social Risk Benefit
if ( subscale %in% c( 'Social Risk Benefit',
'Social risk benefit' ) ) {
out$Description <- paste0(
'Scores for the DOSPERT (SB) - measure of expected ',
'benefit of risk-taking in social situations'
)
out$Units <- 'Summed score'
out$Subscale <- list(
name = 'Social Risk Benefit',
n_items = 6,
range = c( Min = 6, Max = 42 ),
cut_off = NA,
interpretation = paste0(
'Higher scores indicate greater expected ',
'benefits from risk-taking in social situations'
)
)
# Close 'Social Risk Benefit'
}
### Recreational Risk Benefit
if ( subscale %in% c( 'Recreational Risk Benefit',
'Recreational risk benefit' ) ) {
out$Description <- paste0(
'Scores for the DOSPERT (RB) - measure of expected ',
'benefit of risk-taking in recreational situations'
)
out$Units <- 'Summed score'
out$Subscale <- list(
name = 'Recreational Risk Benefit',
n_items = 6,
range = c( Min = 6, Max = 42 ),
cut_off = NA,
interpretation = paste0(
'Higher scores indicate greater expected ',
'benefits from risk-taking in recreational situations'
)
)
# Close 'Recreational Risk Benefit'
}
# Close 'Subscales'
}
# Close 'DOSPERT'
}
#### 1.16) DMQ ####
if ( abbreviation %in% c( 'DMQ' ) ) {
### Overall
out$Description <- paste0(
"Scores for the DMQ - measure of a ",
"patient's motivation to use alcohol"
)
out$Units <- 'Composite score'
out$Scale <- list(
name = 'The Drinking Motives Questionnaire-Revised',
n_items = 20,
range = c( Min = 4, Max = 20 ),
abbreviation = 'DMQ',
cut_off = NA,
reference = paste0(
'Cooper, M. L. (1994). Motivations for alcohol use among ',
'adolescents: Development and validation of a four-factor ',
'model. Psychological Assessment, 6 (2), 117-128. ',
'https://doi.org/10.1037/1040-3590.6.2.117'
),
reference_identifier = c(
DOI = "10.1037/1040-3590.6.2.117"
),
interpretation = paste0(
"Higher scores indicate greater overall motivation to drink"
),
values_and_labels = ""
)
### Subscales
if ( subscale != '' ) {
### Physical Aggression
if ( subscale %in% c( 'Social', 'SOC' ) ) {
out$Description <- paste0(
'Scores for the DMQ Social (SOC) subscale - measure of a ',
'patient’s social motives for alcohol use '
)
out$Units <- 'Mean score'
out$Subscale <- list(
name = 'Social',
n_items = 5,
range = c( Min = 1, Max = 5 ),
cut_off = NA,
interpretation = paste0(
'Higher scores indicate greater social motives for alcohol use'
)
)
# Close 'Social'
}
### Coping
if ( subscale %in% c( 'Coping', 'COP' ) ) {
out$Description <- paste0(
'Scores for the DMQ Coping (COP) subscale – measure of a ',
'patient’s coping motives for alcohol use '
)
out$Units <- 'Mean score'
out$Subscale <- list(
name = 'Coping',
n_items = 5,
range = c( Min = 1, Max = 5 ),
cut_off = NA,
interpretation = paste0(
'Higher scores indicate greater coping motives for alcohol use'
)
)
# Close 'Coping'
}
### Enhancement
if ( subscale %in% c( 'Enhancement', 'ENH' ) ) {
out$Description <- paste0(
'Scores for the DMQ Enhancement (ENH) subscale – measure of ',
'a patient’s enhancement motives for alcohol use '
)
out$Units <- 'Mean score'
out$Subscale <- list(
name = 'Enhancement',
n_items = 5,
range = c( Min = 1, Max = 5 ),
cut_off = NA,
interpretation = paste0(
'Higher scores indicate greater enhancement motives for ',
'alcohol use'
)
)
# Close 'Enhancement'
}
### Conformity
if ( subscale %in% c( 'Conformity', 'CON' ) ) {
out$Description <- paste0(
'Scores for the DMQ Conformity (CON) subscale – measure of a ',
'patient’s conformity motives for alcohol use '
)
out$Units <- 'Mean score'
out$Subscale <- list(
name = 'Conformity',
n_items = 5,
range = c( Min = 1, Max = 5 ),
cut_off = NA,
interpretation = paste0(
'Higher scores indicate greater conformity motives for alcohol use'
)
)
# Close 'Conformity'
}
# Close 'Subscales'
}
# Close 'DMQ'
}
#### 1.17) ERS ####
if ( abbreviation %in% c( 'ERS' ) ) {
### Overall
out$Description <- paste0(
"Scores for the ERS - measure of a ",
"overall emotional reactivity"
)
out$Units <- 'Summed score'
out$Scale <- list(
name = 'The Emotion Reactivity Scale',
n_items = 21,
range = c( Min = 0, Max = 84 ),
abbreviation = 'ERS',
cut_off = NA,
reference = paste0(
'Nock, M. K., Wedig, M. M., Holmberg, E. B., & Hooley, J. M.',
' (2008). The Emotion Reactivity Scale: Development, ',
'evaluation, and relation to self-injurious thoughts and ',
'behaviors. Behavior Therapy, 39 (2), 107–116. ',
'https://doi.org/10.1016/j.beth.2007.05.005'
),
reference_identifier = c(
DOI = "10.1016/j.beth.2007.05.005"
),
interpretation = paste0(
"Higher scores indicate a greater degree of emotional reactivity"
),
values_and_labels = ""
)
### Subscales
if ( subscale != '' ) {
### Sensitivity
if ( subscale %in% c( 'Sensitivity' ) ) {
out$Description <- paste0(
'Scores for the ERS Sensitivity subscale – measure of a ',
'patient’s emotional sensitivity '
)
out$Units <- 'Summed score'
out$Subscale <- list(
name = 'Sensitivity',
n_items = 10,
range = c( Min = 0, Max = 40 ),
cut_off = NA,
interpretation = paste0(
'Higher scores indicate higher emotional sensitivity.'
)
)
# Close 'Sensitivity'
}
### Intensity/Arousal
if ( subscale %in% c( 'Intensity', 'Arousal', 'Intensity/arousal' ) ) {
out$Description <- paste0(
'Scores for the ERS Intensity/arousal Subscale - measure of ',
'a patient’s emotion reaction intensity '
)
out$Units <- 'Summed score'
out$Subscale <- list(
name = 'Intensity/arousal',
n_items = 7,
range = c( Min = 0, Max = 28 ),
cut_off = NA,
interpretation = paste0(
'Higher scores indicate higher intensity of emotions'
)
)
# Close 'Intensity/arousal'
}
### Persistence
if ( subscale %in% c( 'Persistence' ) ) {
out$Description <- paste0(
'Scores for the ERS persistence subscale – measure of a ',
'patient’s persistence (duration) of emotional reactions'
)
out$Units <- 'Summed score'
out$Subscale <- list(
name = 'Persistence',
n_items = 4,
range = c( Min = 0, Max = 16 ),
cut_off = NA,
interpretation = paste0(
'Higher scores indicate longer persistence (duration) ',
'of emotional reactions'
)
)
# Close 'Persistence'
}
# Close 'Subscales'
}
# Close 'ERS'
}
#### 1.18) GLTEQ ####
if ( abbreviation == 'GLTEQ' ) {
out$Description <- paste0(
'Scores for the GLTEQ – measure of the level of physical ',
'activity of a subject'
)
out$Units <- 'Composite score'
out$Scale <- list(
name = 'Godin Leisure-Time Exercise Questionnaire',
n_items = 4,
range = c( Min = 0, Max = Inf ),
abbreviation = 'GLTEQ',
cut_off = c(
`Active` = 23,
`Moderately active` = 14,
`Insufficiently active or sendentary` = 0
),
reference = c(
paste0(
'Godin, G., Shephard, R. J. (1985). A simple method to ',
'assess exercise behavior in the community. ',
'Canadian Journal of Applied Sport Science, ',
'10 (3), 141 - 146.'
),
paste0(
'Pereira, M. A., FitzGerald, S. J., Gregg, E. W., Joswiak, ',
'M. L., Ryan, W. J., Suminski, R. R., Utter, A. C., Zmuda, ',
'J. M. (1997). A collection of physical activity questionnaires ',
'for health-related research. Medicine and Science in Sports ',
'and Exercise, 29 (6, Suppl.), S1 - S205.'
)
),
reference_identifier = c(
PMID = "4053261",
PMID = "9243481"
),
interpretation = paste0(
'Higher scores indicate more physically active lifestyle'
),
values_and_labels = list(
content = "Total leisure activity",
additional_content = paste0(
"(9 x times engaged in strenuous exercise per week) + ",
"(5 x times engaged in moderate exercise per week) + ",
"(3 x times engaged in light exercise per week)"
)
)
)
# Close 'GLTEQ'
}
#### 1.19) HADS ####
if ( abbreviation %in% c( 'HADS' ) ) {
### Overall
out$Description = NULL
out$Units = NULL
out$Scale <- list(
name = 'Hospital Anxiety Depression Scale',
n_items = 14,
range = c( Min = NA, Max = NA ),
abbreviation = 'HADS',
cut_off = NA,
reference = paste0(
'Zigmond, A. S., & Snaith, R. P. (1983). The Hospital Anxiety ',
'and Depression Scale. Acta Psychiatrica Scandinavica, ',
'67 (6), 361-370. ',
'https://doi.org/10.1111/j.1600-0447.1983.tb09716.x'
),
reference_identifier = c(
DOI = "10.1111/j.1600-0447.1983.tb09716.x"
),
interpretation = "",
values_and_labels = ""
)
### Subscales
if ( subscale != '' ) {
### Anxiety
if ( subscale %in% c( 'Anxiety', 'anxiety' ) ) {
out$Description <- paste0(
'Scores for the HADS anxiety subscale - measure ',
'of the degree of anxiety in a patient'
)
out$Units <- "Summed score"
out$Subscale <- list(
name = 'Anxiety',
n_items = 7,
range = c( 0, 21 ),
cut_off = c( Borderline = 8, Abnormal = 11 ),
interpretation = paste0(
"Higher scores indicate greater anxiety"
)
)
# Close 'Anxiety'
}
### Depression
if ( subscale == 'Depression' ) {
out$Description <- paste0(
'Scores for the HADS anxiety subscale - measure ',
'of the degree of depression experienced by a patient'
)
out$Units <- "Summed score"
out$Subscale <- list(
name = 'Depression',
n_items = 7,
range = c( 0, 21 ),
cut_off = c( Borderline = 8, Abnormal = 11 ),
interpretation = paste0(
"Higher scores indicate greater depression"
)
)
# Close 'Depression'
}
# Close 'Subscales'
}
# Close 'HADS'
}
#### 1.20) KSADS CHECK!!! ####
if ( abbreviation == 'KSADS' ) {
out$Description <- paste0(
'Scores for the KSADS - measure of ',
'family history of addiction'
)
out$Units <- 'Summed score'
out$Scale <- list(
name = 'Kiddie Schedule for Affective Disorders and Schizophrenia',
n_items = 7,
range = c( Min = 0, Max = 21 ),
abbreviation = 'KSADS',
cut_off = NA,
reference = paste0(
'Chambers, W. J., Puig-Antich, J., Hirsch, M., Paez, P., ',
'Ambrosini, P. J., Tabrizi, M. A., & Davies, M. (1985). The ',
'assessment of affective disorders in children and ',
'adolescents by semistructured interview: Test-retest ',
'reliability of the Schedule for Affective Disorders ',
'and Schizophrenia for School-Age Children, Present ',
'Episode Version. Archives of general psychiatry, ',
'42 (7), 696-702. ',
'https://doi.org/10.1001/archpsyc.1985.01790300064008'
),
reference_identifier = c(
DOI = "10.1001/archpsyc.1985.01790300064008"
),
interpretation = paste0(
'Higher scores indicate a more extensive family history ',
'of substance abuse'
),
values_and_labels = ""
)
# Close 'KSADS'
}
#### 1.21) MCQ-SF ####
if ( abbreviation == 'MCQ-SF' ) {
### Overall
out$Description <- paste0(
'Global score for the MCQ-SF - measure of ',
'overall craving for cannabis'
)
out$Units <- "Composite score"
out$Scale <- list(
name = 'Marijuana Craving Questionnaire (Short form)',
n_items = 12,
range = c( Min = 4, Max = 28 ),
abbreviation = 'MCQ-SF',
cut_off = NA,
reference = c(
paste0(
"Heishman, S. J., Singleton, E. G., & Liguori, A. (2001). ",
"Marijuana Craving Questionnaire: Development and initial ",
"validation of a self‐report instrument. Addiction, 96(7), ",
"1023-1034. https://doi.org/10.1046/j.1360-0443.2001.967102312.x"
),
paste0(
"Heishman, S. J., Evans, R. J., Singleton, E. G., Levin, K. H., ",
"Copersino, M. L., & Gorelick, D. A. (2009). Reliability and ",
"validity of a short form of the Marijuana Craving Questionnaire. ",
"Drug and alcohol dependence, 102(1-3), 35-40. ",
"https://doi.org/10.1016/j.drugalcdep.2008.12.010"
)
),
reference_identifier = c(
DOI = "10.1046/j.1360-0443.2001.967102312.x",
DOI = "10.1016/j.drugalcdep.2008.12.010"
),
interpretation = paste0(
"Higher scores indicate a greater overall craving for cannabis"
),
values_and_labels = list(
content = 1:7,
additional_content = c(
"Disagree strongly",
"Disagree moderately",
"Disagree a little",
"Neither agree nor disagree",
"Agree a little",
"Agree moderately",
"Agree strongly"
)
)
)
### Subscales
if ( subscale != '' ) {
### Compulsivity
if (subscale == 'Compulsivity') {
out$Description <- paste0(
'Scores for the MCQ compulsivity subscale - measure ',
'of the inability to control marijuana use'
)
out$Units <- "Mean score"
out$Subscale <- list(
name = 'Compulsivity',
n_items = 3,
range = c( Min = 1, Max = 7 ),
cut_off = NA,
interpretation = paste0(
"Higher scores indicate greater difficulty in ",
"controlling marijuana use"
)
)
# Close 'Compulsivity'
}
### Emotionality
if (subscale == 'Emotionality') {
out$Description <- paste0(
'Scores for the MCQ emotionality subscale - measure ',
'of the degree participants use marijuana for relief ',
'from withdrawal or negative mood'
)
out$Units <- "Mean score"
out$Subscale <- list(
name = 'Emotionality',
n_items = 3,
range = c( Min = 1, Max = 7 ),
cut_off = NA,
interpretation = paste0(
"Higher scores indicate a greater willingness to ",
"use marijuana to control withdrawal and negative mood"
)
)
# Close 'Emotionality'
}
### Expectancy
if (subscale == 'Expectancy') {
out$Description <- paste0(
'Scores for the MCQ expectancy subscale - measure ',
'of the degree of anticipation of positive outcomes ',
'from using marijuana'
)
out$Units <- "Mean score"
out$Subscale <- list(
name = 'Expectancy',
n_items = 3,
range = c( Min = 1, Max = 7 ),
cut_off = NA,
interpretation = paste0(
"Higher scores indicate higher anticipation of ",
"postive outcomes from using marijuana"
)
)
# Close 'Expectancy'
}
### Purposefulness
if (subscale == 'Purposefulness') {
out$Description <- paste0(
'Scores for the MCQ purposefulness subscale - measure ',
'of the degree of intention and planning to use ',
'marijuana for positive outcomes'
)
out$Units <- "Mean score"
out$Subscale <- list(
name = 'Purposefulness',
n_items = 3,
range = c( Min = 1, Max = 7 ),
cut_off = NA,
interpretation = paste0(
"Higher scores indicate a greater degree of planning ",
"and intent to use marijuana for postive outcomes"
)
)
# Close 'Purposefulness'
}
# Close 'Subscales'
}
# Close 'MCQ-SF'
}
#### 1.22) MEEQ CHECK!!! ####
if ( abbreviation %in% c( 'MEEQ' ) ) {
### Overall
out$Description <- paste0(
'Global score for the MEEQ - measure of ',
'positive expectations about cannabis'
)
out$Units <- "Summed score"
out$Scale <- list(
name = 'Marijuana Effect Expectancy Questionnaire',
n_items = 48,
range = c( Min = 48, Max = 240 ),
abbreviation = 'MEEQ',
cut_off = NA,
reference = c(
paste0(
"Schafer, J. B., & Sandra, A. (1991). Marijuana and cocaine ",
"effect expectancies and drug use patterns. Journal of ",
"Consulting and Clinical Psychology, 59, (4), 558 - 565. ",
"https://doi.org/10.1037//0022-006x.59.4.558"
)
),
reference_identifier = c(
DOI = "10.1037//0022-006x.59.4.558"
),
interpretation = paste0(
"Higher scores indicate greater belief in positive effects ",
"of cannabis"
),
values_and_labels = list(
content = 1:5,
additional_content = c(
"Disagree strongly",
"Disagree somewhat",
"Uncertain",
"Agree somewhat",
"Agree strongly"
)
)
)
### Subscales
if ( subscale != '' ) {
### Cognitive and Behavioral Impairment
if ( subscale %in% c( 'Cognitive and Behavioral Impairment' ) ) {
out$Description <- paste0(
'Scores for the MEEQ Cognitive and Behavioral Impairment ',
'subscale - measure of the degree of expectancy of cognitive ',
'and behavioral impairment resulting from marijuana use'
)
out$Units <- 'Summed score'
out$Subscale <- list(
name = 'Cognitive and Behavioral Impairment',
n_items = 10,
range = c( Min = 10, Max = 50 ),
cut_off = NA,
interpretation = paste0(
'Higher scores indicate greater expectancy of cognitive ',
'and behavioral impairment due to marijuana use '
)
)
# Close 'Cognitive and Behavioral Impairment'
}
### Relaxation and Tension Reduction
if ( subscale %in% c( 'Relaxation and Tension Reduction' ) ) {
out$Description <- paste0(
'Scores for the MEEQ Relaxation and Tension Reduction ',
'subscale - measure of the degree of expectancy of ',
'relaxation and tension reduction resulting from marijuana use'
)
out$Units <- 'Summed score'
out$Subscale <- list(
name = 'Relaxation and Tension Reduction',
n_items = 8,
range = c( Min = 8, Max = 40 ),
cut_off = NA,
interpretation = paste0(
'Higher scores indicate greater expectancy of relaxation ',
'and tension reduction due to marijuana use'
)
)
# Close 'Relaxation and Tension Reduction'
}
### Social and Sexual Facilitation
if ( subscale %in% c( 'Social and Sexual Facilitation' ) ) {
out$Description <- paste0(
'Scores for the MEEQ Social and Sexual Facilitation ',
'subscale - measure of the degree of expectancy of ',
'social and sexual facilitation resulting from marijuana use'
)
out$Units <- 'Summed score'
out$Subscale <- list(
name = 'Social and Sexual Facilitation',
n_items = 9,
range = c( Min = 9, Max = 45 ),
cut_off = NA,
interpretation = paste0(
'Higher scores indicate greater expectancy of social and ',
'sexual facilitation due to marijuana use'
)
)
# Close 'Social and Sexual Facilitation'
}
### Perceptual and Cognitive Enhancement
if ( subscale %in% c( 'Perceptual and Cognitive Enhancement' ) ) {
out$Description <- paste0(
'Scores for the MEEQ Perceptual and Cognitive Enhancement ',
'subscale - measure of the degree of expectancy of perceptual ',
'and cognitive enhancement resulting from marijuana use'
)
out$Units <- 'Summed score'
out$Subscale <- list(
name = 'Perceptual and Cognitive Enhancement',
n_items = 8,
range = c( Min = 8, Max = 40 ),
cut_off = NA,
interpretation = paste0(
'Higher scores indicate greater expectancy of ',
'perceptual and cognitive enhancement due to marijuana use'
)
)
# Close 'Perceptual and Cognitive Enhancement'
}
### Global Negative Effects
if ( subscale %in% c( 'Global Negative Effects' ) ) {
out$Description <- paste0(
'Scores for the MEEQ Global Negative Effects subscale - measure ',
'of the degree of expectancy of negative effects resulting ',
'from marijuana use '
)
out$Units <- 'Summed score'
out$Subscale <- list(
name = 'Global Negative Effects',
n_items = 9,
range = c( Min = 9, Max = 45 ),
cut_off = NA,
interpretation = paste0(
'Higher scores indicate greater expectancy of negative ',
'effects due to marijuana use '
)
)
# Close 'Global Negative Effects'
}
### Craving and Physical Effects
if ( subscale %in% c( 'Craving and Physical Effects' ) ) {
out$Description <- paste0(
'Scores for the MEEQ Craving and Physical Effects ',
'subscale - measure of the degree of expectancy of ',
'craving and physical effects resulting from marijuana use'
)
out$Units <- 'Summed score'
out$Subscale <- list(
name = 'Craving and Physical Effects',
n_items = 6,
range = c( Min = 6, Max = 30 ),
cut_off = NA,
interpretation = paste0(
'Higher scores indicate greater expectancy of craving and ',
'physical effects due to marijuana use'
)
)
# Close 'Craving and Physical Effects'
}
# Close 'Subscales'
}
# Close 'MEEQ'
}
#### 1.23) MMM ####
if ( abbreviation == 'MMM' ) {
### Overall
out$Description <- NULL
out$Units <- NULL
out$Scale <- list(
name = 'Marijuana Motives Measure',
n_items = 25,
range = c( Min = NA, Max = NA ),
abbreviation = 'MMM',
cut_off = NA,
reference = c(
paste0(
"Simons, J., Correia, C. J., Carey, K. B., & Borsari, ",
"B. E. (1998). Validating a five-factor marijuana motives ",
"measure: Relations with use, problems, and alcohol motives. ",
"Journal of Counseling Psychology, 45 (3), 265–273. ",
"https://doi.org/10.1037/0022-0167.45.3.265"
)
),
reference_identifier = c(
DOI = "10.1037/0022-0167.45.3.265"
),
interpretation = "",
values_and_labels = list(
content = 1:5,
additional_content = c(
"Almost never/never",
"Some of the time",
"Half of the time",
"Most of the time",
"Almost always/always"
)
)
)
### Subscales
if ( subscale != '' ) {
### Coping
if ( subscale %in% c(
'Coping'
) ) {
out$Description <- paste0(
"Scores for the MMM coping ",
"subscale - measure of degree ",
"to which someone uses cannabis ",
"to help cope with negative feelings ",
"and situations"
)
out$Units <- "Mean score"
out$Subscale <- list(
name = 'Coping',
n_items = 5,
range = c( Min = 1, Max = 5 ),
cut_off = NA,
interpretation = paste0(
"Higher scores indicate a greater willingness ",
"to use cannabis to cope with negative ",
"feelings and situations"
)
)
# Close 'Coping'
}
### Conformity
if ( subscale %in% c(
'Conformity'
) ) {
out$Description <- paste0(
"Scores for the MMM conformity ",
"subscale - measure of degree ",
"to which someone uses cannabis ",
"to conform with expectations of peers"
)
out$Units <- "Mean score"
out$Subscale <- list(
name = 'Conformity',
n_items = 5,
range = c( Min = 1, Max = 5 ),
cut_off = NA,
interpretation = paste0(
"Higher scores indicate a greater willingness ",
"to use cannabis in order to conform to the ",
"expectations of others"
)
)
# Close 'Conformity'
}
### Social
if ( subscale %in% c(
'Social'
) ) {
out$Description <- paste0(
"Scores for the MMM social ",
"subscale - measure of degree ",
"to which someone uses cannabis ",
"to better enjoy social situations"
)
out$Units <- "Mean score"
out$Subscale <- list(
name = 'Social',
n_items = 5,
range = c( Min = 1, Max = 5 ),
cut_off = NA,
interpretation = paste0(
"Higher scores indicate a greater willingness ",
"to use cannabis to better enjoy social situations"
)
)
# Close 'Social'
}
### Enhancement
if ( subscale %in% c(
'Enhancement'
) ) {
out$Description <- paste0(
"Scores for the MMM enhancement ",
"subscale - measure of degree ",
"to which someone uses cannabis ",
"for pleasurable feelings"
)
out$Units <- "Mean score"
out$Subscale <- list(
name = 'Enhancement',
n_items = 5,
range = c( Min = 1, Max = 5 ),
cut_off = NA,
interpretation = paste0(
"Higher scores indicate a greater willingness ",
"to use cannabis for pleasurable feelings"
)
)
# Close 'Enhancement'
}
### Expansion
if ( subscale %in% c(
'Expansion'
) ) {
out$Description <- paste0(
"Scores for the MMM expansion ",
"subscale - measure of degree ",
"to which someone uses cannabis ",
"to be more open to new experiences"
)
out$Units <- "Mean score"
out$Subscale <- list(
name = 'Expansion',
n_items = 5,
range = c( Min = 1, Max = 5 ),
cut_off = NA,
interpretation = paste0(
"Higher scores indicate a greater willingness ",
'to use cannabis for new experiences'
)
)
# Close 'Expansion'
}
# Close 'Subscales'
}
# Close 'MMM'
}
#### 1.24) MPS ####
if ( abbreviation == 'MPS' ) {
out$Description <- paste0(
'Scores for the MPS – measure of potential negative effects of ',
'marijuana on subject’s wellbeing'
)
out$Units <- 'Summed score'
out$Scale <- list(
name = 'Marijuana Problem Scale',
n_items = 19,
range = c( Min = 0, Max = 19 ),
abbreviation = 'MPS',
cut_off = NA,
reference = c(
paste0(
"Stephens, R. S., Roffman, R. A., & Curtin, L. (2000). ",
"Comparison of extended versus brief treatments for ",
"marijuana use. Journal of Consulting and Clinical ",
"Psychology, 68 (5), 898–908. ",
"https://doi.org/10.1037/0022-006X.68.5.898"
),
paste0(
"Stephens, R. S., Roffman, R. A., & Simpson, E. E. ",
"(1994). Treating adult marijuana dependence: A test ",
"of the relapse prevention model. Journal of Consulting ",
"and Clinical Psychology, 62 (1), 92–99. ",
"https://doi.org/10.1037/0022-006X.62.1.92"
)
),
reference_identifier = c(
DOI = "10.1037/0022-006X.68.5.898",
DOI = "10.1037/0022-006X.62.1.92"
),
interpretation = paste0(
'Higher scores indicate more serious problems associated with ',
'marijuana use'
),
values_and_labels = ""
)
# Close 'MPS'
}
#### 1.25) MCQ ####
if ( abbreviation == 'MCQ' ) {
out$Description <- paste0(
'Scores for the MCQ – measure of whether the participant prefers ',
'smaller immediate rewards over delayed larger rewards'
)
out$Units <- 'Rate of Discounting (k)'
out$Scale <- list(
name = 'Monetary Choice Questionnaire',
n_items = 27,
range = c( Min = 0.0, Max = 0.5 ),
abbreviation = 'MCQ',
cut_off = NA,
reference = c(
paste0(
"Kirby, K. N., Petry, N. M., & Bickel, W. K. (1999). Heroin ",
"addicts have higher discount rates for delayed rewards ",
"than non-drug-using controls. Journal of Experimental ",
"Psychology: General, 128 (1), 78-87. ",
"https://doi.org/10.1037//0096-3445.128.1.78"
)
),
reference_identifier = c(
DOI = "10.1037//0096-3445.128.1.78"
),
interpretation = paste0(
'Higher k values (higher discounting rates) indicate higher ',
'level of impulsivity (preference for immediate rewards)'
),
values_and_labels = ""
)
# Close 'MCQ'
}
#### 1.26) MASQ ####
if ( abbreviation == 'MASQ' ) {
### Overall
out$Description <- NULL
out$Units <- NULL
out$Scale <- list(
name = 'Mood and Anxiety Symptom Questionnaires',
n_items = 62,
range = c( Min = NA, Max = NA ),
abbreviation = 'MASQ',
cut_off = NA,
reference = c(
paste0(
"Watson, D., Weber, K., Assenheimer, J. S., ",
"Clark, L. A., Strauss, M. E., & McCormick, R. A. ",
"(1995). Testing a tripartite model: I. Evaluating ",
"the convergent and discriminant validity of anxiety ",
"and depression symptom scales. ",
"Journal of Abnormal Psychology, 104 (1), 4-14. ",
"https://doi.org/10.1037/0021-843X.104.1.3"
),
paste0(
"Watson, D., & Clark, L. A. (1991). The mood and anxiety ",
"symptom questionnaire. Unpublished manuscript. ",
"https://doi.org/10.1037/t13679-000"
)
),
reference_identifier = c(
DOI = "10.1037/0021-843X.104.1.3",
DOI = "10.1037/t13679-000"
),
interpretation = "",
values_and_labels = list(
content = 1:5,
additional_content = c(
"Not at all/slightly",
"A little",
"Moderately",
"Quite a bit",
"Extremely"
)
)
)
### Subscales
if ( subscale != '' ) {
### General distress anxious symptoms
if ( subscale %in% c(
'GDA',
'General distress anxious symptoms',
'General Distress Anxious Symptoms'
) ) {
out$Description <- paste0(
"Scores for the MASQ anxious general distress ",
"anxious symptoms subscale - measure of anxious ",
"mood"
)
out$Units <- "Summed score"
out$Subscale <- list(
name = 'General distress anxious symptoms',
n_items = 11,
range = c( Min = 11, Max = 55 ),
cut_off = NA,
interpretation = paste0(
"Higher scores indicate a greater degree ",
"of general distress and anxiety"
)
)
# Close 'Mood and Anxiety Symptom Questionnaires'
}
### Anxious arousal
if ( subscale %in% c(
'AA',
'Anxious arousal',
'Anxious Arousal'
) ) {
out$Description <- paste0(
"Scores for the MASQ anxious arousal subscale - ",
"measure of symptoms of somatic tension and hyperarousal ",
"specific to anxiety"
)
out$Units <- "Summed score"
out$Subscale <- list(
name = 'Anxious arousal',
n_items = 17,
range = c( Min = 17, Max = 85 ),
cut_off = NA,
interpretation = paste0(
""
)
)
# Close 'Anxious arousal'
}
### General distress depressive symptoms
if ( subscale %in% c(
'GDD',
'General distress depressive symptoms',
'General Distress Depressive Symptoms'
) ) {
out$Description <- paste0(
"Scores for the MASQ anxious general distress ",
"depressive symptoms subscale - measure of depressed ",
"mood"
)
out$Units <- "Summed score"
out$Subscale <- list(
name = 'General distress depressive symptoms',
n_items = 12,
range = c( Min = 12, Max = 60 ),
cut_off = NA,
interpretation = paste0(
"Higher scores indicate a greater degree ",
"of general distress and depression"
)
)
# Close 'General distress depressive symptoms'
}
### Anhedonic depression
if ( subscale %in% c(
'AD',
'Anhedonic depression',
'Anhedonic Depression'
) ) {
out$Description <- paste0(
"Scores for the MASQ anhedonic depression ",
"subscale - measure of anhedonia and low ",
"positive affect"
)
out$Units <- "Summed score"
out$Subscale <- list(
name = 'Anhedonic depression',
n_items = 22,
range = c( Min = 22, Max = 110 ),
cut_off = NA,
interpretation = paste0(
"Higher scores indicate greater degree of anhedonia ",
"and depression"
)
)
# Close 'Anhedonic depression'
}
# Close 'Subscales'
}
# Close 'MASQ'
}
#### 1.27) MISS ####
if ( abbreviation %in% c( 'MISS' ) ) {
### Overall
out$Description <- paste0(
'Scores for the MISS – measure of suggestibility from ',
'influence of media or people or immediate events'
)
out$Units <- "Summed score"
out$Scale <- list(
name = 'Multidimensional Iowa Suggestibility Scale',
n_items = 64,
range = c( Min = 64, Max = 320 ),
abbreviation = 'MISS',
cut_off = NA,
reference = c(
paste0(
"Kotov, R. I., Bellman, S. B., & Watson, D. B. (2004). ",
"MISS: Multidimensional Iowa Suggestibility Scale Brief ",
"Manual. Stony Brook University. https://",
"medicine.stonybrookmedicine.edu/",
"system/files/MISSBriefManual.pdf"
)
),
reference_identifier = c(
URL = paste0(
"https://",
"medicine.stonybrookmedicine.edu/",
"system/files/MISSBriefManual.pdf"
)
),
interpretation = paste0(
"Higher scores indicate a greater degree of overall ",
"suggestibility from influence of ",
"media or people or immediate events"
),
values_and_labels = list(
content = 1:5,
additional_content = c(
"Not at all or very slightly",
"A litte",
"Somewhat",
"Quite a bit",
"A lot"
)
)
)
### Subscales
if ( subscale != '' ) {
### Consumer Suggestibility
if ( subscale %in% c( 'Consumer Suggestibility' ) ) {
out$Description <- paste0(
'Scores for the MISS Consumer Suggestibility subscale – measure ',
'of the level of consumer suggestibility of the subject'
)
out$Units <- 'Summed score'
out$Subscale <- list(
name = 'Consumer Suggestibility',
n_items = 11,
range = c( Min = 11, Max = 55 ),
cut_off = NA,
interpretation = paste0(
'Higher scores indicate higher consumer suggestibility'
)
)
# Close 'Consumer Suggestibility'
}
### Persuadability
if ( subscale %in% c( 'Persuadability' ) ) {
out$Description <- paste0(
'Scores for the MISS Persuadability subscale – measure of the ',
'persuadability of the subject '
)
out$Units <- 'Summed score'
out$Subscale <- list(
name = 'Persuadability',
n_items = 14,
range = c( Min = 14, Max = 70 ),
cut_off = NA,
interpretation = paste0(
'Higher scores indicate higher persuadability'
)
)
# Close 'Persuadability'
}
### Physiological Suggestibility
if ( subscale %in% c( 'Physiological Suggestibility' ) ) {
out$Description <- paste0(
'Scores for the MISS Consumer Physiological Suggestibility ',
'subscale – measure of the physiological suggestibility of ',
'the subject'
)
out$Units <- 'Summed score'
out$Subscale <- list(
name = 'Physiological Suggestibility',
n_items = 12,
range = c( Min = 12, Max = 60 ),
cut_off = NA,
interpretation = paste0(
'higher scores indicate higher physiological suggestibility'
)
)
# Close 'Physiological Suggestibility'
}
### Physiological Reactivity
if ( subscale %in% c( 'Physiological Reactivity' ) ) {
out$Description <- paste0(
'Scores for the MISS Physiological Reactivity subscale – measure ',
'of the physiological reactivity of subject'
)
out$Units <- 'Summed score'
out$Subscale <- list(
name = 'Physiological Reactivity',
n_items = 13,
range = c( Min = 13, Max = 65 ),
cut_off = NA,
interpretation = paste0(
'Higher scores indicate greater physiological reactivity'
)
)
# Close 'Physiological Reactivity'
}
### Peer Conformity
if ( subscale %in% c( 'Peer Conformity' ) ) {
out$Description <- paste0(
'Scores for the MISS Peer Conformity subscale – measure of the ',
'peer conformity of subject'
)
out$Units <- 'Summed score'
out$Subscale <- list(
name = 'Peer Conformity',
n_items = 14,
range = c( Min = 14, Max = 70 ),
cut_off = NA,
interpretation = paste0(
'Higher scores indicate greater peer conformity'
)
)
# Close 'Peer Conformity'
}
### Short Suggestibility Scale
if ( subscale %in% c( 'Short Suggestibility Scale' ) ) {
out$Description <- paste0(
'Scores for the MISS Short Suggestibility Scale ',
'subscale – measure of the subject’s general suggestibility trait'
)
out$Units <- 'Summed score'
out$Subscale <- list(
name = 'Short Suggestibility Scale',
n_items = 21,
range = c( Min = 21, Max = 105 ),
cut_off = NA,
interpretation = paste0(
'Higher scores indicate greater suggestibility'
)
)
# Close 'Short Suggestibility Scale'
}
### Mental Control
if ( subscale %in% c( 'Mental Control' ) ) {
out$Description <- paste0(
'Scores for the MISS Mental Control subscale – measure of ',
'the subject’s ability for mental control'
)
out$Units <- 'Summed score'
out$Subscale <- list(
name = 'Mental Control',
n_items = 15,
range = c( Min = 15, Max = 75 ),
cut_off = NA,
interpretation = paste0(
'Higher scores indicate greater mental control ability'
)
)
# Close 'Mental Control'
}
### Unpersuadability
if ( subscale %in% c( 'Unpersuadability' ) ) {
out$Description <- paste0(
'Scores for the MISS Unpersuadability subscale – measure ',
'of the subject’s resistance to persuasion'
)
out$Units <- 'Summed score'
out$Subscale <- list(
name = 'Unpersuadability',
n_items = 16,
range = c( Min = 16, Max = 80 ),
cut_off = NA,
interpretation = paste0(
'Higher scores indicate greater resistance to persuasion'
)
)
# Close 'Unpersuadability'
}
# Close 'Subscales'
}
# Close 'MISS'
}
#### 1.28) PCS ####
### Summed score
if ( abbreviation == 'PCS' ) {
out$Description <- paste0(
"Scores for the PCS - measure of the degree to which ",
"a subject engages in pain catastrophizing"
)
out$Units <- "Summed score"
out$Scale <- list(
name = 'Pain Catastrophizing Scale',
n_items = 13,
range = c( Min = 0, Max = 52 ),
abbreviation = 'PCS',
cut_off = NA,
reference = paste0(
'Sullivan, M. J. L., Bishop, S. R., & Pivik, J. (1995). ',
'The Pain Catastrophizing Scale: Development and ',
'validation. Psychological Assessment, 7(4), 524–532. ',
'https://doi.org/10.1037/1040-3590.7.4.524'
),
reference_identifier = c(
DOI = "10.1037/1040-3590.7.4.524"
),
interpretation = paste0(
"Higher scores indicate that a subject engages in ",
"a greater degree of catastrophizing about pain"
),
values_and_labels = ""
)
# Close 'PCS'
}
### Percentages
if ( abbreviation %in% 'PCS (%)' ) {
out$Description <- paste0(
"Percentages for the PCS - measure of the degree to ",
"which a subject engages in pain catastrophizing"
)
out$Units <- "Percentage"
out$Scale <- list(
name = 'Pain Catastrophizing Scale',
n_items = 13,
range = c( Min = 0, Max = 100 ),
abbreviation = 'PCS (%)',
cut_off = NA,
reference = paste0(
'Sullivan, M. J. L., Bishop, S. R., & Pivik, J. (1995). ',
'The Pain Catastrophizing Scale: Development and ',
'validation. Psychological Assessment, 7(4), 524–532. ',
'https://doi.org/10.1037/1040-3590.7.4.524'
),
reference_identifier = c(
DOI = "10.1037/1040-3590.7.4.524"
),
interpretation = paste0(
"Higher scores indicate that a subject engages in ",
"a greater degree of catastrophizing about pain"
),
values_and_labels = ""
)
# Close 'PCS (%)'
}
#### 1.29) PSS ####
if ( abbreviation == 'PSS' ) {
out$Description <- paste0(
"Percentages for the PSS - measure of the degree to ",
"which subjects view situations in their life ",
"as stressful"
)
out$Units <- "Summed score"
out$Scale <- list(
name = 'Perceived Stress Scale',
n_items = 10,
range = c( Min = 0, Max = 40 ),
abbreviation = 'PSS',
cut_off = c( Moderate = 14, High = 27),
reference = c(
paste0(
'Cohen, S., Kamarch, T., & Mermelstein, R. (1983). ',
'A global measure of perceived stress. Journal of ',
'Health and Social Behavior, 24, 385-396. ',
'https://doi.org/10.2307/2136404'
),
paste0(
'Cohen, S., & Williamson, G. (1988). Perceived ',
'stress in a probability sample of the United States. ',
'In S. Spacapan, & S. Oskamp (Eds.), The social ',
'psychology of health: Claremont symposium on ',
'applied social psychology. Sage Publications, Inc.'
)
),
reference_identifier = c(
DOI = "10.2307/2136404",
"ISBN: 080393162X or 9780803931626"
),
interpretation = paste0(
"Higher scores indicate a greater degree of perceived stress"
),
values_and_labels = ""
)
# Close 'PSS'
}
#### 1.30) PDI ####
if ( abbreviation %in% c( 'PDI' ) ) {
### Overall
out$Description <- paste0(
"Scores for the PDI - measure of the degree to ",
"which subjects are proine to delusional ideation"
)
out$Units <- "Summed score"
out$Scale <- list(
name = 'Peters et al. Delusions Inventory',
n_items = 63,
range = c( Min = 0, Max = 336 ),
abbreviation = 'PDI',
cut_off = NA,
reference = c(
paste0(
'Peters, E. R., Joseph, S. A., & Garety, P. A. ',
'(1999). Measurement of delusional ideation in the ',
'normal population: introducing the PDI ',
'(Peters et al. Delusions Inventory). Schizophrenia ',
'Bulletin, 25(3), 553-576. ',
'https://doi.org/10.1093/oxfordjournals.schbul.a033401'
),
paste0(
'Peters, E., Joseph, S., Day, S., Garety, P. (2004). ',
'Measuring delusional ideation: The 21-Item Peters et al. ',
'Delusions Inventory (PDI). Schizophrenia Bulletin, 30 ',
'(4), 1005-1022. ',
'https://doi.org/10.1093/oxfordjournals.schbul.a007116'
)
),
reference_identifier = c(
DOI = "10.1093/oxfordjournals.schbul.a033401",
DOI = "10.1093/oxfordjournals.schbul.a007116"
),
interpretation = paste0(
"Higher scores indicate greater proneness to delusional ",
"ideation"
),
values_and_labels = ""
)
### Subscales
if ( subscale != '' ) {
### Distress
if ( subscale %in% c( 'Distress' ) ) {
out$Description <- paste0(
'Scores for the PDI distress subscale - measure of',
'how upsetting are the delusional ideations'
)
out$Units <- "Summed score"
out$Subscale <- list(
name = 'Distress',
n_items = 21,
range = c( Min = 0, Max = 105 ),
cut_off = c( NA ),
interpretation = paste0(
"Higher scores indicate greater distress"
)
)
# Close 'Distress'
}
### Preoccupation
if ( subscale %in% c( 'Preoccupation' ) ) {
out$Description <- paste0(
'Scores for the PDI preoccupation subscale - measure of',
'how preoccupied an individual is with the delusional ',
'ideations'
)
out$Units <- "Summed score"
out$Subscale <- list(
name = 'Preoccupation',
n_items = 21,
range = c( Min = 0, Max = 105 ),
cut_off = c( NA ),
interpretation = paste0(
"Higher scores indicate greater preoccu"
)
)
# Close 'Preoccupation'
}
### Conviction
if ( subscale %in% c( 'Conviction' ) ) {
out$Description <- paste0(
'Scores for the PDI conviction subscale - measure of',
'how much an individual believes in the delusional ',
'ideations'
)
out$Units <- "Summed score"
out$Subscale <- list(
name = 'Conviction',
n_items = 21,
range = c( Min = 0, Max = 105 ),
cut_off = c( NA ),
interpretation = paste0(
"Higher scores indicate greater belief in delusions"
)
)
# Close 'Conviction'
}
### PDI yes/no
if ( subscale %in% c( 'PDI yes/no' ) ) {
out$Description <- paste0(
'Scores for the PDI yes/no subscale - measure of',
'number of delusional ideations a person experiences'
)
out$Units <- "Summed score"
out$Subscale <- list(
name = 'PDI yes/no',
n_items = 21,
range = c( Min = 0, Max = 21 ),
cut_off = c( NA ),
interpretation = paste0(
"Higher scores indicate a greater degree of delusional ",
"ideation"
)
)
# Close 'PDI yes/no'
}
### PDI total
if ( subscale %in% c( 'PDI total' ) ) {
out$Description <- paste0(
'Scores for the PDI - measure of',
'general delusional ideation summing over all subscales'
)
out$Units <- "Summed score"
out$Subscale <- list(
name = 'PDI total',
n_items = 63,
range = c( Min = 0, Max = 336 ),
cut_off = c( NA ),
interpretation = paste0(
"Higher scores indicate a greater degree of delusional ",
"ideation"
)
)
# Close 'PDI yes/no'
}
# Close 'Subscales'
}
# Close 'PDI'
}
#### 1.31) PSQI ####
if ( abbreviation %in% c( 'PSQI' ) ) {
### Overall
out$Description <- paste0(
'Global score for the PSQI – measure of the ',
'subjective sleep quality of a person'
)
out$Units <- "Summed score"
out$Scale <- list(
name = 'Pittsburgh Sleep Quality Index',
n_items = 19,
range = c( Min = 0, Max = 21 ),
abbreviation = 'PSQI',
cut_off = NA,
reference =
paste0(
'Buysse,D.J., Reynolds,C.F., Monk,T.H., ',
'Berman,S.R., & Kupfer,D.J. (1989). The Pittsburgh Sleep',
' Quality Index (PSQI): A new instrument for psychiatric',
' research and practice. Psychiatry Research, 28 (2), 193-213. ',
'https://doi.org/10.1016/0165-1781(89)90047-4'
),
reference_identifier = c(
DOI = "10.1016/0165-1781(89)90047-4"
),
interpretation = paste0(
"Higher scores indicate worse sleep quality"
)
)
### Subscales
if ( subscale != '' ) {
### Component 1
if ( subscale %in% c( 'Component 1' ) ) {
out$Description <- paste0(
'Scores for the PSQI component 1 subscale – measure of the ',
'subjective sleep quality of subject'
)
out$Units <- "Ordinal ranking"
out$Subscale <- list(
name = 'Component 1',
n_items = 1,
range = c( Min = 0, Max = 3 ),
cut_off = NA,
interpretation = paste0(
'A score of 0 indicates subjectively very high sleep ',
'quality - a score of 3 indicates subjectively very ',
'poor sleep quality'
)
)
# Close 'Component 1'
}
### Component 2
if ( subscale %in% c( 'Component 2' ) ) {
out$Description <- paste0(
'Scores for the PSQI component 2 subscale – measure of the ',
'sleep latency of subject '
)
out$Units <- "Ordinal ranking"
out$Subscale <- list(
name = 'Component 2',
n_items = 2,
range = c( Min = 0, Max = 3 ),
cut_off = NA,
interpretation = paste0(
'A score of 0 indicates very low sleep latency - a score ',
'of 3 indicates very high sleep latency'
)
)
# Close 'Component 2'
}
### Component 3
if ( subscale %in% c( 'Component 3' ) ) {
out$Description <- paste0(
'Scores for the PSQI component 3 subscale – measure of the ',
'sleep duration of subject'
)
out$Units <- "Ordinal ranking"
out$Subscale <- list(
name = 'Component 3',
n_items = 1,
range = c( Min = 0, Max = 3 ),
cut_off = NA,
interpretation = paste0(
'A score of 0 indicates sufficient sleep duration (>7 ',
'hours) - a score of 3 indicates insufficient sleep ',
'duration (<5 hours)'
)
)
# Close 'Component 3'
}
### Component 4
if ( subscale %in% c( 'Component 4' ) ) {
out$Description <- paste0(
'Scores for the PSQI component 4 subscale – measure of the ',
'habitual sleep efficiency of subject'
)
out$Units <- "Ordinal ranking"
out$Subscale <- list(
name = 'Component 4',
n_items = 3,
range = c( Min = 0, Max = 3 ),
cut_off = NA,
interpretation = paste0(
'A score of 0 indicates high habitual sleep efficiency ',
'(most time in bed is spent sleeping) - a score of 3 ',
'indicates low habitual sleep efficiency (less than ',
'65% of time in bed is spent sleeping)'
)
)
# Close 'Component 4'
}
### Component 5
if ( subscale %in% c( 'Component 5' ) ) {
out$Description <- paste0(
'Scores for the PSQI component 5 subscale – measure of the ',
'sleep disturbances experienced by subject'
)
out$Units <- "Ordinal ranking"
out$Subscale <- list(
name = 'Component 5',
n_items = 9,
range = c( Min = 0, Max = 3 ),
cut_off = NA,
interpretation = paste0(
'A score of 0 indicates no sleep disturbances - a score ',
'of 3 indicates very significant sleep disturbances'
)
)
# Close 'Component 5'
}
### Component 6
if ( subscale %in% c( 'Component 6' ) ) {
out$Description <- paste0(
'Scores for the PSQI component 6 subscale – measure of the ',
'subject’s use of sleeping medication'
)
out$Units <- "Ordinal ranking"
out$Subscale <- list(
name = 'Component 6',
n_items = 1,
range = c( Min = 0, Max = 3 ),
cut_off = NA,
interpretation = paste0(
'A score of 0 indicates no use of any sleep medications in ',
'the past month - a score of 3 indicates use of sleep ',
'medication 3 or more times per week'
)
)
# Close 'Component 6'
}
### Component 7
if ( subscale %in% c( 'Component 7' ) ) {
out$Description <- paste0(
'Scores for the PSQI component 7 subscale – measure of the ',
'daytime dysfunction experienced by subject'
)
out$Units <- "Ordinal ranking"
out$Subscale <- list(
name = 'Component 7',
n_items = 2,
range = c( Min = 0, Max = 3 ),
cut_off = NA,
interpretation = paste0(
'A score of 0 indicates no daytime dysfunction - a ',
'score of 3 indicates severe daytime dysfunction'
)
)
# Close 'Component 7'
}
# Close 'Subscales'
}
# Close 'PSQI'
}
#### 1.32) PQB ####
if ( abbreviation %in% c( 'PQB' ) ) {
### Overall
out$Description <- paste0(
'Total scores for the PBQ - measure of a ',
'patient’s reported prodromal symptoms'
)
out$Units <- "Summed scores"
out$Scale <- list(
name = 'Prodromal Questionnaire-Brief',
n_items = 21,
range = c( Min = 0, Max = 21 ),
abbreviation = 'PQB',
cut_off = NA,
reference = paste0(
'Loewy, R. L., Pearson, R., Vinogradov, S., Bearden, C. E., ',
'& Cannon, T. D. (2011). Psychosis risk screening with the ',
'Prodromal Questionnaire—brief version (PQ-B). Schizophrenia',
' research, 129(1), 42–46.',
' https://doi.org/10.1016/j.schres.2011.03.029'
),
reference_identifier = c(
DOI = "10.1016/j.schres.2011.03.029"
),
interpretation =
'Higher scores indicate experiencing more prodromal symptoms',
values_and_labels = ""
)
### Subscales
if ( subscale != '' ) {
### Distress
if ( subscale %in% c( 'Distress' ) ) {
out$Description <- paste0(
'Scores for the PQ-B Distress subscale – measure of the ',
'level of distress or impairment associated with the ',
'endorsed positive symptoms'
)
out$Units <- 'Summed score'
out$Subscale <- list(
name = 'Distress',
n_items = 21,
range = c( Min = 21, Max = 105 ),
cut_off = NA,
interpretation = paste0(
'Higher scores indicate higher distress caused by endorsed ',
'positive symptoms'
)
)
# Close 'Distress'
}
# Close 'Subscales'
}
# Close 'PQB'
}
#### 1.33) PERS ####
if ( abbreviation == 'PERS' ) {
out$Description <- paste0(
'Scores for the PERS - measure of ',
'clinician expectations for patient recovery'
)
out$Units <- 'Summed score'
out$Scale <- list(
name = 'Provider Expectations for Recovery Scale',
n_items = 12,
range = c( Min = 12, Max = 60 ),
abbreviation = 'PERS',
cut_off = NA,
reference = paste0(
'Salyers, M. P., Brennan, M., & Kean, J. (2013). Provider ',
'Expectations for Recovery Scale: Refining a measure of ',
'provider attitudes. Psychiatric Rehabilitation Journal, 36(3), 153. ',
'https://doi.org/10.1037/prj0000010'
),
reference_identifier = c(
DOI = "10.1037/prj0000010"
),
interpretation = paste0(
'Higher scores indicate greater clinican optimism about ',
'patient recovery'
),
values_and_labels = ""
)
# Close 'PERS'
}
#### 1.34) SCARED ####
if ( abbreviation %in% c( 'SCARED' ) ) {
### Overall
out$Description <- paste0(
'Total score for the SCARED - measure of ',
'overall degree of anxiety'
)
out$Units <- "Summed score"
out$Scale <- list(
name = 'Screen for Child Anxiety Related Emotional Disorders',
n_items = 66,
range = c( Min = 0, Max = 132 ),
abbreviation = 'SCARED',
cut_off = NA,
reference = c(
paste0(
"Behren,. B., Swetlitz, C., Pine, D. S., & Pagliaccio, D. ",
"(2019). The Screen for Child Anxiety Related Emotional ",
"Disorders (SCARED): Informant discrepancy, measurement ",
"invariance, and test-retest reliability. Child ",
"Psychiatry Human Development, 50 (3), 473-482. ",
"https://doi.org/10.1007/s10578-018-0854-0"
),
paste0(
'Muris, P., & Steerneman, P. (2001). The revised ',
'version of the Screen for Child Anxiety Related Emotional ',
'Disorders (SCARED-R): First evidence for its reliability ',
'and validity in a clinical sample. The British journal ',
'of Clinical Psychology, 40 (1), 35–44. ',
'https://doi.org/10.1348/014466501163463'
)
),
reference_identifier = c(
DOI = "10.1348/014466501163463"
),
interpretation = paste0(
"Higher scores indicate a greater degree of overall anxiety"
),
values_and_labels = list(
content = 0:2,
additional_content = c(
"Almost never",
'Sometimes',
"Often"
)
)
)
### Subscales
if ( subscale != '' ) {
### Panic Disorder
if ( subscale %in% c( 'Panic Disorder' ) ) {
out$Description <- paste0(
'Scores for the SCARED Panic Disorder subscale– measure of ',
'the presence of panic disorder symptoms in subject'
)
out$Units <- 'Summed score'
out$Subscale <- list(
name = 'Panic Disorder',
n_items = 13,
range = c( Min = 0, Max = 26 ),
cut_off = NA,
interpretation = paste0(
'Higher scores indicate more severe symptoms of panic disorder'
)
)
# Close 'Panic Disorder'
}
### Separation Anxiety Disorder
if ( subscale %in% c( 'Separation Anxiety Disorder' ) ) {
out$Description <- paste0(
'Scores for the Separation Anxiety Disorder (including ',
'school phobia) subscale– measure of the presence of ',
'separation anxiety disorder symptoms in subject'
)
out$Units <- 'Summed score'
out$Subscale <- list(
name = 'Separation Anxiety Disorder',
n_items = 12,
range = c( Min = 0, Max = 24),
cut_off = NA,
interpretation = paste0(
'Higher scores indicate more severe symptoms of ',
'separation anxiety disorder'
)
)
# Close 'Separation Anxiety Disorder'
}
### Generalized Anxiety Disorder
if ( subscale %in% c( 'Generalized Anxiety Disorder' ) ) {
out$Description <- paste0(
'Scores for the SCARED Generalized Anxiety Disorder ',
'subscale – measure of the presence of GAD symptoms in subject'
)
out$Units <- 'Summed Score'
out$Subscale <- list(
name = 'Generalized Anxiety Disorder',
n_items = 9,
range = c( Min = 0, Max = 18 ),
cut_off = NA,
interpretation = paste0(
'Higher scores indicate more severe symptoms of generalized ',
'anxiety disorder'
)
)
# Close 'Generalized Anxiety Disorder'
}
### Social Phobia
if ( subscale %in% c( 'Social Phobia' ) ) {
out$Description <- paste0(
'Scores for the SCARED Social Phobia subscale – measure of ',
'the presence of social phobia symptoms in subject'
)
out$Units <- 'Summed Score'
out$Subscale <- list(
name = 'Social Phobia',
n_items = 4,
range = c( Min = 0, Max = 8 ),
cut_off = NA,
interpretation = paste0(
'Higher scores indicate more severe symptoms of social phobia'
)
)
# Close 'Social Phobia'
}
### Specific Phobias
if ( subscale %in% c( 'Specific Phobias' ) ) {
out$Description <- paste0(
'Scores for the SCARED Specific Phobias subscale– measure ',
'of the presence of specific phobias in subject'
)
out$Units <- 'Summed score'
out$Subscale <- list(
name = 'Specific Phobias',
n_items = 15,
range = c( Min = 0, Max = 30 ),
cut_off = NA,
interpretation = paste0(
'Higher scores indicate more severe symptoms of specific phobia'
)
)
# Close 'Specific Phobias'
}
### Obsessive Compulsive Disorder
if ( subscale %in% c( 'Obsessive Compulsive Disorder' ) ) {
out$Description <- paste0(
'Scores for the SCARED Obsessive Compulsive Disorder ',
'subscale – measure of the presence of OCD symptoms in subject'
)
out$Units <- 'Summed score'
out$Subscale <- list(
name = 'Obsessive Compulsive Disorder',
n_items = 9,
range = c( Min = 0, Max = 18 ),
cut_off = NA,
interpretation = paste0(
'Higher scores indicate more severe symptoms of ',
'obsessive compulsive disorder'
)
)
# Close 'Obsessive Compulsive Disorder'
}
### Traumatic Stress Disorder
if ( subscale %in% c( 'Traumatic Stress Disorder' ) ) {
out$Description <- paste0(
'Scores for the SCARED Traumatic Stress Disorder ',
'subscale – measure of the presence of traumatic ',
'stress disorder symptoms in subject'
)
out$Units <- 'Summed score'
out$Subscale <- list(
name = 'Traumatic Stress Disorder',
n_items = 4,
range = c( Min = 0, Max = 8 ),
cut_off = NA,
interpretation = paste0(
'Higher scores indicate more severe symptoms of ',
'traumatic stress disorder'
)
)
# Close 'Traumatic Stress Disorder'
}
# Close 'Subscales'
}
# Close 'SCARED'
}
#### 1.35) SF-12 ####
if ( abbreviation == 'SF-12' ) {
### Overall
out$Description <- NULL
out$Units <- NULL
out$Scale <- list(
name = 'Short-Form 12-item Health Survey',
n_items = 12,
range = c( Min = NA, Max = NA ),
abbreviation = 'SF-12',
cut_off = NA,
reference = c(
paste0(
"Ware Jr, J. E., Kosinski, M., & Keller, S. D. (1996). ",
"A 12-Item Short-Form Health Survey: construction of scales ",
"and preliminary tests of reliability and validity. Medical ",
"care, 220-233. ",
"https://doi.org/10.1097/00005650-199603000-00003"
)
),
reference_identifier = c(
DOI = "10.1348/014466501163463"
),
interpretation = "",
values_and_labels = "10.1097/00005650-199603000-00003"
)
### Subscales
if ( subscale != '' ) {
### Mental
if ( subscale == 'Mental' ) {
out$Description <- paste0(
"Normed scores for the SF-12 mental subscale - ",
"measure of the degree of general mental health ",
"of the respondent"
)
out$Units <- paste0(
"T-score"
)
out$Subscale <- list(
name = 'General mental health',
n_items = 6,
range = c( Mean = 50, SD = 10 ),
cut_off = NA,
interpretation = paste0(
"Higher scores indicate indicate better degree of ",
"mental health"
)
)
# Close 'Mental'
}
### Physical
if ( subscale == 'Physical' ) {
out$Description <- paste0(
"Normed scores for the SF-12 physical subscale - ",
"measure of the degree of general physical health of ",
"the respondent"
)
out$Units <- paste0(
"T-score"
)
out$Subscale <- list(
name = 'General physical health',
n_items = 6,
range = c( Mean = 50, SD = 10 ),
cut_off = NA,
interpretation = paste0(
"Higher scores indicate better degree of ",
"physical health"
)
)
# Close 'Physical'
}
# Close 'Subscales'
}
# Close 'SF-12'
}
#### 1.36) TIPI ####
if ( abbreviation %in% c( 'TIPI' ) ) {
### Overall
out$Description <- NULL
out$Units <- NULL
out$Scale <- list(
name = 'Ten Item Personality Inventory',
n_items = 10,
range = c( Min = NA, Max = NA ),
abbreviation = 'TIPI',
cut_off = NA,
reference = paste0(
'Gosling, S. D., Rentfrow, P. J., & Swann, W. B., Jr. ',
'(2003). A very brief measure of the Big-Five personality ',
'domains. Journal of Research in Personality, 37(6), ',
'504–528. https://doi.org/10.1016/S0092-6566(03)00046-1'
),
reference_identifier = c(
DOI = "10.1016/S0092-6566(03)00046-1"
),
interpretation = "",
values_and_labels = ""
)
### Subscales
if ( subscale != '' ) {
### Extraversion
if ( subscale %in% c( 'Extraversion' ) ) {
out$Description <- paste0(
'Scores for the TIPI extraversion subscale– measure of ',
'the subject’s level of extraversion'
)
out$Units <- 'Summed score'
out$Subscale <- list(
name = 'Extraversion',
n_items = 2,
range = c( Min = 2, Max = 14 ),
cut_off = NA,
interpretation = paste0(
'Higher scores indicate higher level of extraversion; ',
'lower scores indicate higher level of introversion'
)
)
# Close 'Extraversion'
}
### Agreeableness
if ( subscale %in% c( 'Agreeableness' ) ) {
out$Description <- paste0(
'Scores for the TIPI agreeableness subscale – measure of ',
'the subject’s level of agreeableness'
)
out$Units <- 'Summed score'
out$Subscale <- list(
name = 'Agreeableness',
n_items = 2,
range = c( Min = 2, Max = 14 ),
cut_off = NA,
interpretation = paste0(
'Higher scores indicate higher level of agreeableness'
)
)
# Close 'Agreeableness'
}
### Conscientiousness
if ( subscale %in% c( 'Conscientiousness' ) ) {
out$Description <- paste0(
'Scores for the TIPI conscientiousness subscale – measure ',
'of the subject’s level of conscientiousness'
)
out$Units <- 'Summed Score'
out$Subscale <- list(
name = 'Conscientiousness',
n_items = 2,
range = c( Min = 2, Max = 14 ),
cut_off = NA,
interpretation = paste0(
'Higher scores indicate higher level of conscientiousness'
)
)
# Close 'Conscientiousness'
}
### Emotional Stability
if ( subscale %in% c( 'Emotional Stability' ) ) {
out$Description <- paste0(
'Scores for the TIPI emotional stability subscale – measure ',
'of the subject’s level of emotional stability'
)
out$Units <- 'Summed Score'
out$Subscale <- list(
name = 'Emotional Stability',
n_items = 2,
range = c( Min = 2, Max = 14 ),
cut_off = NA,
interpretation = paste0(
'Higher scores indicate higher level of emotional stability'
)
)
# Close 'Emotional Stability'
}
### Openness
if ( subscale %in% c( 'Openness' ) ) {
out$Description <- paste0(
'Scores for the TIPI openness subscale – measure of the ',
'subject’s level of openness to experiences'
)
out$Units <- 'Summed score'
out$Subscale <- list(
name = 'Openness',
n_items = 2,
range = c( Min = 2, Max = 14 ),
cut_off = NA,
interpretation = paste0(
'Higher scores indicate higher level of openness to experiences'
)
)
# Close 'Openness'
}
# Close 'Subscales'
}
# Close 'TIPI'
}
#### 1.37) CES-D ####
if ( abbreviation == 'CES-D' ) {
out$Description <- paste0(
'Scores for the CES-D - measure ',
'of depressive symptomatology'
)
out$Units <- "Summed score"
out$Scale <- list(
name = 'The Center for Epidemiologic Studies Depression Scale',
n_items = 20,
range = c( Min = 0, Max = 60 ),
abbreviation = 'CES-D',
cut_off = 15,
reference = c(
paste0(
"Radloff, L. S. (1977) The CES-D scale: A self-report ",
"depression scale for research in the general ",
"population. Applied Psychological Measurement, 1 (3) 385-401. ",
"https://doi.org/10.1177/014662167700100306"
)
),
reference_identifier = c(
DOI = "10.1177/014662167700100306"
),
interpretation = paste0(
"Higher scores indicate a greater degree of depression"
),
values_and_labels = list(
content = 0:3,
additional_content = c(
"Rarely or none of the time (less than 1 day )",
"Some or a little of the time (1-2 days)",
"Occasionally or a moderate amount of time (3-4 days)",
" Most or all of the time (5-7 days)"
)
)
)
# Close 'CES-D'
}
#### 1.38) UPPS-P ####
if ( abbreviation == 'UPPS-P' ) {
### Overall
out$Description <- NULL
out$Units <- NULL
out$Scale <- list(
name = 'UPPS-P Impulsive Behavior Scale',
n_items = 59,
range = c( Min = NA, Max = NA ),
abbreviation = 'UPPS-P',
cut_off = NA,
reference = c(
paste0(
"Whiteside, S. P., & Lynam, D. R. (2001). ",
"The five factor model and impulsivity: Using a ",
"structural model of personality to understand ",
"impulsivity. Personality and Individual Differences, ",
"30 (4), 669-689. ",
"https://doi.org/10.1016/S0191-8869(00)00064-7"
),
paste0(
"Cyders, M. A., Smith, G. T., Spillane, N. S., Fischer, ",
"S., Annus, A. M., & Peterson, C. (2007). Integration of ",
"impulsivity and positive mood to predict risky behavior: ",
"Development and validation of a measure of positive ",
"urgency. Psychological Assessment, 19 (1), 107-118. ",
"https://doi.org/10.1037/1040-3590.19.1.107"
)
),
reference_identifier = c(
DOI = "10.1016/S0191-8869(00)00064-7",
DOI = "10.1037/1040-3590.19.1.107"
),
values_and_labels = list(
content = 1:4,
additional_content = c(
"Agree strongly",
"Agree somewhat",
"Disagree somewhat",
"Disagree strongly"
)
)
)
### Subscales
if ( subscale != '' ) {
### Negative urgency
if ( subscale %in% c(
'Negative urgency',
'(Negative) Urgency',
'Urgency'
) ) {
out$Description <- paste0(
"Scores for the UPPS-P negative urgency ",
"subscale - measure of the tendency for ",
"a person to act rashly under extreme ",
"negative emotions"
)
out$Units <- "Summed score"
out$Subscale <- list(
name = 'Negative urgency',
n_items = 12,
range = c( Min = 12, Max = 48 ),
cut_off = NA,
interpretation = paste0(
"Higher scores indicate a greater tendency ",
"towards rashness during negative moods"
)
)
# Close 'Negative urgency'
}
### Lack of premeditation
if ( subscale %in% c(
'Lack of premeditation',
'(Lack of) Premeditation',
'Premeditation'
) ) {
out$Description <- paste0(
"Scores for the UPPS-P lack of premeditation ",
"subscale - measure of the tendency for a ",
"person to act without thinking"
)
out$Units <- "Summed score"
out$Subscale <- list(
name = 'Lack of premeditation',
n_items = 11,
range = c( Min = 11, Max = 44 ),
cut_off = NA,
interpretation = paste0(
"Higher scores indicate a greater ",
"tendency to act without thinking beforehand"
)
)
# Close 'Lack of premeditation'
}
### Lack of perseverance
if ( subscale %in% c(
'Lack of perseverance',
'(Lack of) Perseverance',
'Perseverance'
) ) {
out$Description <- paste0(
"Scores for the UPPS-P lack of perseverance ",
"subscale - a measure of the inability to ",
"remain focused on a task"
)
out$Units <- "Summed score"
out$Subscale <- list(
name = 'Lack of premeditation',
n_items = 10,
range = c( Min = 10, Max = 40 ),
cut_off = NA,
interpretation = paste0(
"Higher scores indicate a greater ",
"inability to remain focused on a task"
)
)
# Close 'Lack of perseverance'
}
### Sensation seeking
if ( subscale %in% c(
'Sensation seeking',
'Sensation Seeking'
) ) {
out$Description <- paste0(
"Scores for the UPPS-P sensation seeking ",
"subscale - measure of the tendency for a ",
"person to seek out novel and thrilling experiences"
)
out$Units <- "Summed score"
out$Subscale <- list(
name = 'Sensation seeking',
n_items = 12,
range = c( Min = 12, Max = 48 ),
cut_off = NA,
interpretation = paste0(
"Higher scores indicate a greater ",
"willingness to seek out novel and ",
"thrilling experiences"
)
)
# Close 'Sensation seeking'
}
### Positive urgency
if ( subscale %in% c(
'Positive urgency',
'Positive Urgency'
) ) {
out$Description <- paste0(
"Scores for the UPPS-P positive urgency ",
"subscale - measure of the tendency for ",
"a person to act rashly under extreme ",
"positive emotions"
)
out$Units <- "Summed score"
out$Subscale <- list(
name = 'Sensation seeking',
n_items = 14,
range = c( Min = 14, Max = 56 ),
cut_off = NA,
interpretation = paste0(
"Higher scores indicate a greater ",
"tendency to act rashly during ",
"positive moods"
)
)
# Close 'Positive urgency'
}
# Close 'Subscales'
}
# Close 'UPPS-P'
}
#### 1.39) WTAR ####
if ( abbreviation == 'WTAR' ) {
out$Description <- paste0(
'Scores for the WTAR - measure of intellectual function'
)
out$Units <- 'Summed score'
out$Scale <- list(
name = 'Wechsler Test of Adult Reading',
n_items = 50,
range = c( Min = 0, Max = 50 ),
abbreviation = 'WTAR',
cut_off = NA,
reference = paste0(
'Holdnack, H.A. (2001). Wechsler Test of Adult Reading: ',
'WTAR. San Antonio. The Psychological Corporation.'
),
interpretation = paste0(
'Higher scores indicate greater intellectual function'
)
)
# Close 'WTAR'
}
#### 1.40) WHODAS 2.0 CHECK!!! ####
if ( abbreviation %in% c( 'WHODAS', 'WHODAS 2.0' ) ) {
### Overall
out$Scale <- list(
name = 'World Health Organization Disability Assement Scale 2.0',
n_items = 36,
range = c( Min = NA, Max = NA ),
abbreviation = 'WHODAS 2.0',
cut_off = NA,
reference = c(
paste0(
'Ustun, T. B., & World Health Organization. (2010). ',
'Measuring health and disability: Manual for WHO ',
'Disability Assessment Schedule WHODAS 2.0. Geneva: ',
'World Health Organization.'
)
),
interpretation = paste0(
'Higher scores indicate greater difficulties ',
'with activities of daily living'
)
)
### Subscales
if ( subscale != '' ) {
### IRT-based scores
if ( subscale %in% c( 'IRT-based scores',
'Item response theory',
'IRT',
'Item response theory scores',
'IRT scores' ) ) {
out$Description <- paste0(
'Item response theory based scores for the ',
'WHODAS 2.0 - measure of degree of disability ',
'which negatively impacts daily life'
)
out$Units <- "Scaled score"
out$Subscale <- list(
name = 'IRT-based scores',
n_items = 36,
range = c( Min = 0, Max = 100 ),
cut_off = NA,
interpretation = paste0(
"Higher scores indicate a greater degree of disability"
)
)
# Close 'IRT-based scores'
}
### Percentile rank
if ( subscale %in% c( 'Percentile rank',
'percentile rank' ) ) {
out$Description <- paste0(
'Percentile rank based on norms for the ',
'WHODAS 2.0 - measure of ',
'percentage of individuals who report a lesser ',
'degree of disability'
)
out$Units <- "Percentile rank"
out$Subscale <- list(
name = 'Percentile rank',
n_items = 36,
range = c( Min = 0, Max = 100 ),
cut_off = NA,
interpretation = paste0(
"Higher scores indicate a greater percentage of ",
"individuals with a lesser degree of disability"
)
)
# Close 'Percentile rank'
}
# Close 'Subscales'
}
# Close 'WHODAS 2.0'
}
#### 1.41) Y-PSC ####
if ( abbreviation %in% c( 'Y-PSC' ) ) {
out$Description <- paste0(
'Scores for the Y-PSC - measure ',
'of psychosocial functioning in youth'
)
out$Units <- "Summed score"
out$Scale <- list(
name = 'Pediatric Symptom Checklist - Youth Report',
n_items = 35,
range = c( Min = 0, Max = 70 ),
abbreviation = 'Y-PSC',
cut_off = c(
Psychological_impairment = 30
),
reference = paste0(
'Jellinek, M. S., J. M. Murphy, J. Robinson, A. Feins, ',
'S. Lamb and T. Fenton (1988). The Pediatric Symptom ',
'Checklist: Screening school-age children for ',
'psychosocial dysfunction. The Journal of Pediatrics, ',
'(112) (2), 201-209. ',
'https://doi.org/10.1016/S0022-3476(88)80056-8'
),
interpretation = paste0(
"Higher scores indicate greater impairment in ",
"psychosocial functioning"
)
)
# Close 'Y-PSC'
}
if ( is.null( out$Scale ) ) {
stop( 'Scale or subscale not found' )
} else {
if ( is.null( out$Subscale ) ) {
out$Subscale <- ''
}
return( out )
}
}
#### 2) camr_add_inventory_item ####
#' Add Individual Inventory Item With Codebook Entry
#'
#' Convenience function to add a column with scores
#' for an individual item or question from an
#' inventory, survey, or questionnaire. Can also
#' add the associated codebook entry for the item.
#'
#' @param dtf_original A data frame with the
#' column of scores for the given item or question.
#' @param dtf_new A data frame to which the column
#' of scores will be added.
#' @param chr_original_column A character string, the
#' column name in \code{dtf_original} to add.
#' @param chr_new_column A character string, the
#' new column name to use in \code{dtf_new}.
#' @param vec_response_options A vector, the original
#' response options. Used to recode the response
#' options if needed.
#' @param vec_new_values A vector, the new values to
#' replace \code{vec_response options} with. Must
#' match in length to \code{vec_response_options}.
#' @param lst_values_and_labels A named list with
#' \code{'content'} containing the numeric values
#' and \code{'additional_content'} containing the
#' labels or interpretations for the values.
#' @param chr_inventory A character string, the
#' name of the inventory, survey, or questionnaire
#' to which the item belongs.
#' @param chr_question A character string, the item's
#' framing question.
#' @param chr_description A character string,
#' allows a user to specify a custom description
#' rather than one auto-filled using \code{chr_inventory}
#' and \code{chr_question}.
#' @param ... Additional arguments for the
#' [camrprojects::camr_add_codebook_entry] function.
#'
#' @returns A data frame with an additional column
#' containing the scores for the individual item
#' or question.
#'
#' @export
camr_add_inventory_item <- function(
dtf_original,
dtf_new,
chr_original_column,
chr_new_column,
vec_response_options = NULL,
vec_new_values = NULL,
lst_values_and_labels = "",
chr_inventory = "",
chr_question = "",
chr_description = "",
... ) {
# Number of rows in data frame
N_rows <- nrow( dtf_new )
# Extract scores for specified item
vec_scores <- dtf_original[[ chr_original_column ]]
# If response options and new values are provided
if ( !is.null( vec_new_values ) & !is.null( vec_response_options ) ) {
# Initialize new vector of scores
vec_transformed_scores <- rep( NA, N_rows )
# Number of response options
N_options <- length( vec_response_options )
# Check inputs
if ( length( vec_new_values ) != N_options ) {
stop(
paste0(
"The arguments 'vec_new_values' and 'vec_response_options' ",
"must match in length"
)
)
# Close 'Check inputs'
}
# Loop over response options
for ( l in 1:N_options ) {
lgc_rows <- vec_scores %in% vec_response_options[l]
vec_transformed_scores[ lgc_rows ] <- vec_new_values[l]
# Close 'Loop over response options'
}
lst_values_and_labels <- list(
content = vec_new_values,
additional_content = vec_response_options
)
# Close 'If values and labels are provided'
} else {
vec_transformed_scores <- vec_scores
# Close else for 'If values and labels are provided'
}
mat_new <- cbind(
vec_transformed_scores
)
colnames( mat_new ) <- chr_new_column
dtf_new <- cbind(
dtf_new, mat_new
)
lgc_codebook <-
( chr_inventory != "" ) |
( chr_question != "" ) |
( chr_description != "" )
chr_item_number <- ''
# Extract item number
if ( grepl( 'Item_', chr_new_column, fixed = TRUE ) ) {
chr_parts <- strsplit(
chr_new_column, split = '.', fixed = TRUE
)[[1]]
chr_item_number <-
chr_parts[ grepl( 'Item_', chr_parts, fixed = TRUE ) ]
chr_item_number <- gsub(
'Item_', '', chr_item_number, fixed = TRUE
)
chr_item_number <- paste0(
' ', chr_item_number
)
# Close 'Extract item number'
}
# If inputs for codebook entry provided
if ( lgc_codebook ) {
# Remove commas
if ( chr_question != '' ) {
chr_question <-
gsub( ',', ' - ', chr_question, fixed = TRUE )
# Close 'Remove commas'
}
# Combine item number + inventory + question
if ( chr_inventory != "" &
chr_question != "" ) {
chr_description <- paste0(
'Response to item',
chr_item_number,
' for the ',
chr_inventory, ' asking: ',
chr_question
)
# Close 'Combine item number + inventory + question'
}
# Combine item number + inventory
if ( chr_inventory != "" &
chr_question == "" ) {
chr_description <- paste0(
'Response to item',
chr_item_number,
' for the ',
chr_inventory
)
# Close 'Combine item number + inventory'
}
# Question
if ( chr_inventory == "" &
chr_question != "" ) {
chr_description <- chr_question
# Close 'Question'
}
# Create codebook entry
dtf_new <- dtf_new |> camr_add_codebook_entry(
chr_new_column,
description = chr_description,
values_and_labels = lst_values_and_labels,
created_from = chr_original_column,
non_standard = FALSE,
...
)
# Close 'If inputs for codebook entry provided'
}
return( dtf_new )
}
rettopnivek/camrprojects documentation built on March 26, 2024, 9:17 a.m.
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Defines functions camr_add_inventory_item camr_inventories
Documented in camr_add_inventory_item camr_inventories
# Inventories, scales, and questionnaires
# Written by...
# Megan Cooke
# Kevin Potter
# Jakob Weiss
# Maintained by...
# Kevin Potter
# Email:
# kpotter5@mgh.harvard.edu
# Please email us directly if you
# have any questions or comments
# Last updated: 2023-03-02
# Table of contents
# 1) camr_inventories
# 1.0) Templates for adding measures
# 1.1) APSS
# 1.2) ASRS
# 1.3) AUDIT
# 1.4) AUQ
# 1.5) AIS
# 1.6) BIS-11
# 1.7) BRIEF CHECK!!!
# 1.8) BRIEF2 CHECK!!!
# 1.9) BPI
# 1.10) BPAQ
# 1.11) CUDIT-R
# 1.12) CWS
# 1.13) CGI CHECK!!!
# 1.14) CHRT
# 1.15) DOSPERT
# 1.16) DMQ
# 1.17) ERS
# 1.18) GLTEQ
# 1.19) HADS
# 1.20) KSADS CHECK!!!
# 1.21) MCQ-SF
# 1.22) MEEQ CHECK!!!
# 1.23) MMM
# 1.24) MPS
# 1.25) MCQ
# 1.26) MASQ CHECK!!!
# 1.27) MISS
# 1.28) PCS
# 1.29) PSS
# 1.30) PDI
# 1.31) PSQI
# 1.32) PQB
# 1.33) PERS
# 1.34) SCARED
# 1.35) SF-12
# 1.36) TIPI
# 1.37) CES-D
# 1.38) UPPS-P
# 1.39) WTAR
# 1.40) WHODAS 2.0
# 1.41) Y-PSC
# 2) camr_add_inventory_item
#### 1) camr_inventories ####
#' Pre-defined Output for Known Scales and Subscales
#'
#' A convenience function that, given an abbreviation
#' for a scale, inventory, or questionnaire, returns
#' a list of information useful for data dictionary
#' purposes.
#'
#' @param abbreviation The abbreviation for a scale, used to
#' look up the associated pre-defined output.
#' @param subscale The name of a subscale of the scale
#' given above, used to look up the relevant ancillary
#' output.
#'
#' @author Megan Cooke, Jacob Weiss, Kevin Potter
#'
#' @return A list consisting of...
#' \itemize{
#' \item `Description` A brief description of the
#' scale/subscale and its purpose
#' \item `Scale` A list with the scale name, abbreviation,
#' number of items, lowest to highest possible score (if
#' applicable), clinical cut-offs (if applicable), and
#' APA-styled references for the scale development/interpretation;
#' \item `Subscale` A list with the subscale name,
#' number of items, lowest to highest possible score,
#' clinical cut-offs (if applicable).
#' \item `Units` The units of measurement.
#' }
#'
#' @examples
#' # List all possible inputs (i.e., known
#' # scales, inventories, and questionnaires)
#' camr_inventories()
#'
#' # Example input
#' camr_inventories( 'HADS' )
#' camr_inventories( 'HADS', subscale = 'Anxiety' )
#'
#' @export
camr_inventories <- function(
abbreviation = NULL,
subscale = '' ) {
if ( is.null( abbreviation ) & subscale == '' ) {
inputs <- c(
'Accepted inputs:\n\n',
'Adolescent Psychotic Symptom Screener\n',
' abbreviation = "APSS"\n\n',
'Adult ADHD Self-Report Scale\n',
' abbreviation = "ASRS"\n\n',
'Alcohol Urge Questionnaire\n',
' abbreviation = "AUQ"\n',
' subscale = "Urge"\n\n',
'Alcohol Use Disorders Identification Test\n',
' abbreviation = "AUDIT"\n\n',
'Athens Insomnia Scale\n',
' abbreviation = "AIS"\n\n',
'Barratt Impulsiveness Scale\n',
' abbreviation = "BIS-11"\n',
' subscale = "Attentional"\n',
' subscale = "Motor"\n',
' subscale = "Planning"\n\n',
'Behavior Rating Inventory of Executive Function 2nd Edition\n',
' abbreviation = "BRIEF2"\n',
' subscale = "Inhibit (Raw)"\n',
' subscale = "Inhibit (Percentile)"\n',
' subscale = "Inhibit (T-score)"\n',
' subscale = "Self-Monitor (Raw)"\n',
' subscale = "Self-Monitor (Percentile)"\n',
' subscale = "Self-Monitor (T-score)"\n',
' subscale = "Shift (Raw)"\n',
' subscale = "Shift (Percentile)"\n',
' subscale = "Shift (T-score)"\n',
' subscale = "Emotional Control (Raw)"\n',
' subscale = "Emotional Control (Percentile)"\n',
' subscale = "Emotional Control (T-score)"\n',
' subscale = "Task Completion (Raw)"\n',
' subscale = "Task Completion (Percentile)"\n',
' subscale = "Task Completion (T-score)"\n',
' subscale = "Working Memory (Raw)"\n',
' subscale = "Working Memory (Percentile)"\n',
' subscale = "Working Memory (T-score)"\n',
' subscale = "Plan|Organize (Raw)"\n',
' subscale = "Plan|Organize (Percentile)"\n',
' subscale = "Plan|Organize (T-score)"\n',
' subscale = "Behavioral Regulation (Raw)"\n',
' subscale = "Behavioral Regulation (Percentile)"\n',
' subscale = "Behavioral Regulation (T-score)"\n',
' subscale = "Emotion Regulation (Raw)"\n',
' subscale = "Emotion Regulation (Percentile)"\n',
' subscale = "Emotion Regulation (T-score)"\n',
' subscale = "Cognitive Regulation (Raw)"\n',
' subscale = "Cognitive Regulation (Percentile)"\n',
' subscale = "Cognitive Regulation (T-score)"\n',
' subscale = "General Executive (Raw)"\n',
' subscale = "General Executive (Percentile)"\n',
' subscale = "General Executive (T-score)"\n\n',
'Brief Pain Inventory (Short form)\n',
' abbreviation = "BPI"\n',
' subscale = "Severity"\n',
' subscale = "Interference"\n\n',
'Buss-Perry Aggression Questionnaire\n',
' abbreviation = "BPAQ"\n',
' subscale = "Physical Aggression"\n',
' subscale = "Verbal Aggression"\n',
' subscale = "Anger"\n',
' subscale = "Hostility"\n\n',
'Cannabis Use Disorder Identification Test - Revised\n',
' abbreviation = "CUDIT"\n\n',
'Cannabis Withdrawal Scale\n',
' abbreviation = "CWS"\n',
' subscale = "Intensity"\n',
' subscale = "Negative impact"\n\n',
'Clinical Global Impression scale\n',
' abbreviation = "CGI"\n',
' subscale = "Anxiety"\n',
' subscale = "Depression"\n\n',
'Concise Health Risk Tracking scale\n',
' abbreviation = "CHRT"\n',
' subscale = "Despair"\n', # 3
' subscale = "Helplessness"\n', # 2
' subscale = "Lack of social support"\n', # 2
' subscale = "Pessimism"\n', # 2
' subscale = "Suicidal thoughts"\n', # 3
' subscale = "Propensity"\n\n',
'Domain-Specific Risk-Taking Scale\n',
' abbreviation = "DOSPERT"\n',
' subscale = "Ethical"\n',
' subscale = "Financial"\n',
' subscale = "Health/Safety"\n',
' subscale = "Social"\n',
' subscale = "Recreational"\n',
' subscale = "Ethical Risk Perception"\n',
' subscale = "Financial Risk Perception"\n',
' subscale = "Health/Safety Risk Perception"\n',
' subscale = "Social Risk Perception"\n',
' subscale = "Recreational Risk Perception"\n',
' subscale = "Ethical Risk Benefit"\n',
' subscale = "Financial Risk Benefit"\n',
' subscale = "Health/Safety Risk Benefit"\n',
' subscale = "Social Risk Benefit"\n',
' subscale = "Recreational Risk Benefit"\n\n',
'Drinking Motives Questionnaire-Revised\n',
' abbreviation = "DMQ"\n',
' subscale = "Social"\n',
' subscale = "Coping"\n',
' subscale = "Enhancement"\n',
' subscale = "Conformity"\n\n',
'Emotion Reactivity Scale\n',
' abbreviation = "ERS"\n',
' subscale = "Sensitivity"\n',
' subscale = "Intensity/arousal"\n',
' subscale = "Persistence"\n\n',
'Godin Leisure-Time Exercise Questionnaire\n',
' abbreviation = "GLTEQ"\n\n',
'Hospital Anxiety Depression Scale\n',
' abbrevation = "HADS"\n',
' subscale = "Anxiety"\n',
' subscale = "Depression"\n\n',
'Kiddie Schedule for Affective Disorders and Schizophrenia\n',
' abbreviation = "KSADS"\n\n',
'Marijuana Craving Questionnaire (Short form)\n',
' abbrevation = "MCQ-SF"\n',
' subscale = "Compulsitivity"\n',
' subscale = "Emotionality"\n',
' subscale = "Expectancy"\n',
' subscale = "Purposefulness"\n\n',
'Marijuana Effect Expectancy Questionnaire\n',
' abbrevation = "MEEQ"\n',
' subscale = "Cognitive and Behavioral Impairment"\n',
' subscale = "Relaxation and Tension Reduction"\n',
' subscale = "Social and Sexual Facilitation"\n',
' subscale = "Perceptual and Cognitive Enhancement"\n',
' subscale = "Global Negative Effects"\n',
' subscale = "Craving and Physical Effects"\n\n',
'Marijuana Motives Measure\n',
' abbrevation = "MMM"\n',
' subscale = "Coping"\n',
' subscale = "Conformity"\n',
' subscale = "Social"\n',
' subscale = "Enhancement"\n',
' subscale = "Expansion"\n\n',
'Marijuana Problem Scale\n',
' abbrevation = "MPS"\n\n',
'Monetary Choice Questionnaire\n',
' abbrevation = "MCQ"\n\n',
'Mood and Anxiety Symptom Questionnaire\n',
' abbreviation = "MASQ"\n',
' subscale = "General distress anxious symptoms"\n',
' subscale = "Anxious arousal"\n',
' subscale = "General distress depressive symptoms"\n',
' subscale = "Anhedonic depression"\n\n',
'Multidimensional Iowa Suggestibility Scale\n',
' abbreviation = "MISS"\n',
' subscale = "Consumer Suggestibility"\n',
' subscale = "Persuadability"\n',
' subscale = "Physiological Suggestibility"\n',
' subscale = "Physiological Reactivity"\n',
' subscale = "Peer Conformity"\n',
' subscale = "Short Suggestibility Scale"\n',
' subscale = "Mental Control"\n',
' subscale = "Unpersuadability"\n\n',
'Pain Catastrophizing Scale\n',
' abbreviation = "PCS"\n\n',
'Perceived Stress Scale\n',
' abbreviation = "PSS"\n\n',
'Peters et al. Delusions Inventory\n',
' abbreviation = "PDI"\n',
' subscale = "Distress"\n',
' subscale = "Preoccupation"\n',
' subscale = "Conviction"\n',
' subscale = "PDI yes/no"\n',
' subscale = "PDI total"\n\n',
'Pittsburgh Sleep Quality Index\n',
' abbreviation = "PSQI"\n',
' subscale = "Component 1"\n',
' subscale = "Component 2"\n',
' subscale = "Component 3"\n',
' subscale = "Component 4"\n',
' subscale = "Component 5"\n',
' subscale = "Component 6"\n',
' subscale = "Component 7"\n\n',
'Prodromal Questionnaire-Brief\n',
' abbreviation = "PQB"\n',
' subscale = "Distress"\n\n',
'Provider Expectations for Recovery Scale\n',
' abbreviation = "PERS"\n\n',
'Screen for Child Anxiety Related Emotional Disorders\n',
' abbreviation = "SCARED"\n',
' subscale = "Panic Disorder"\n',
' subscale = "Separation Anxiety Disorder"\n',
' subscale = "Generalized Anxiety Disorder"\n',
' subscale = "Social Phobia"\n',
' subscale = "Specific Phobias"\n',
' subscale = "Obsessive Compulsive Disorder"\n',
' subscale = "Traumatic Stress Disorder"\n\n',
'Short Form Health Survey\n',
' abbreviation = "SF-12"\n',
' subscale = "Physical"\n',
' subscale = "Mental"\n\n',
'Ten Item Personality Inventory\n',
' abbreviation = "TIPI"\n',
' subscale = "Extraversion"\n',
' subscale = "Agreeableness"\n',
' subscale = "Conscientiousness"\n',
' subscale = "Emotional Stability"\n',
' subscale = "Openness"\n\n',
'The Center for Epidemiologic Studies Depression Scale\n',
' abbreviation = "CES-D"\n\n',
'Urgency, Premeditation (lack of), Perseverance \n',
'(lack of), Sensation Seeking, Positive Urgency, \n',
'Impulsive Behavior Scale\n',
' abbreviation = "UPPS-P"\n',
' subscale = "Negative urgency"\n',
' subscale = "Lack of premeditation"\n',
' subscale = "Lack of perseverance"\n',
' subscale = "Sensation seeking"\n',
' subscale = "Positive urgency"\n\n',
'Wechsler Test of Adult Reading\n',
' abbreviation = "WTAR"\n\n',
'World Health Organization Disability Assement Scale 2.0\n',
' abbrevation = "WHODAS 2.0"\n',
' subscale = "IRT-based scores"\n',
' subscale = "Percentile rank"\n\n'
)
message( inputs )
# End function call
return( invisible( NULL ) )
}
# Initialize output
out <- list(
Description = NULL,
Scale = NULL,
Subscale = NULL,
Units = NULL
)
#### 1.0) Templates for adding measures ####
# Replace content in square brackets []
# Template for single inventory/scale/questionnaire
# 1.[Index number]) [Abbreviation]
# if ( abbreviation == '[Abbreviation]' ) {
#
# out$Description <- paste0(
# 'Scores for the [Abbreviation] - measure of ',
# '[description of measure]'
# )
#
# out$Units <- "[Typically either Summed score, Mean score, or T-score]"
#
# out$Scale <- list(
# name = '[Full name of measure]',
# n_items = [Total number of items for full measure],
# range = c( Min = [Lowest score], Max = [Highest score] ),
# abbreviation = '[Abbreviation]',
# cut_off = c( `[Description]` = [Value] ),
# reference = c(
# # Add references as separate character strings
# paste0(
# '[Last name], [First letter of first name], ..., ',
# '& [Last name], [First letter of first name] ([Year]).
# [Article title]. [Journal title - no abbreviations],
# [Journal volume] ([Journal issue]), [1st page]-[Last page].'
# )
# ),
# reference_identifier = c(
# DOI = '[DOI number]',
# PMID = '[PMID number]',
# URL = '[URL link]
# ),
# interpretation = paste0(
# "Higher scores indicate [insert interpretation]"
# ),
# values_and_labels = c(
# content = [Numeric vector with responses],
# additional_content = [Character vector with labels for responses]
# )
# )
#
# # Close '[Abbreviation]'
# }
# Template for inventory/scale/questionnaire with subscales
#### 1.1) APSS ####
if ( abbreviation == 'APSS' ) {
out$Description <- paste0(
'Scores for the APSS - measure of the degree of risk for ',
'psychotic-like experiences for a subject'
)
out$Units <- 'Summed score'
out$Scale <- list(
name = 'Adolescent Psychotic Symptom Screener',
n_items = 7,
range = c( Min = 0, Max = 7 ),
abbreviation = 'APSS',
cut_off = c( `At risk` = 2 ),
reference = paste0(
'Kelleher, I., Harley, M., Murtagh, A., & Cannon, M. (2011).',
' Are screening instruments valid for psychotic-like ',
'experiences? A validation study of screening questions ',
'for psychotic-like experiences using in-depth clinical ',
'interview. Schizophrenia Bulletin, 37 (2), 362–369.',
'https://doi.org/10.1093/schbul/sbp057'
),
reference_identifier = c(
DOI = '10.1093/schbul/sbp057'
),
interpretation = paste0(
'Higher scores indicate greater risk for psychotic-like experiences'
),
values_and_labels = list(
content = c( 0, 0.5, 1 ),
additional_content = c(
'No - never',
'Maybe',
'Yes - definitely'
)
)
)
# Close 'APSS'
}
#### 1.2) ASRS ####
if ( abbreviation == 'ASRS' ) {
out$Description <- paste0(
'Scores for the ASRS - measure of symptoms ',
'suggesting attention-deficit hyperactivity disorder'
)
out$Units <- 'Summed score'
out$Scale <- list(
name = 'Adult ADHD Self-Report Scale',
n_items = 18,
range = c( Min = 0, Max = 72 ),
abbreviation = 'ASRS',
cut_off = NA,
reference = paste0(
'Kessler, R. C., Adler, L., Ames, M., Demler, O., Faraone, ',
'S., Hiripi, E. V. A., ... & Walters, E. E. (2005). The World ',
'Health Organization Adult ADHD Self-Report Scale (ASRS): a ',
'short screening scale for use in the general population. ',
'Psychological medicine, 35(2), 245-256. ',
'https://doi.org/10.1017/S0033291704002892'
),
reference_identifier = c(
DOI = '10.1017/S0033291704002892'
),
interpretation = paste0(
'Higher scores indicate more severe ADHD-like symptoms'
),
values_and_labels = list(
content = c( 0, 1, 2, 3, 4 ),
additional_content = c(
'Never',
'Rarely',
'Sometimes',
'Often',
'Very often'
)
)
)
# Close 'ASRS'
}
#### 1.3) AUDIT ####
if ( abbreviation == 'AUDIT' ) {
out$Description <- paste0(
'Scores for the AUDIT - measure ',
'of the degree of problematic alcohol use behavior ',
'for a subject'
)
out$Units <- "Summed score"
out$Scale <- list(
name = 'Alcohol Use Disorders Identification Test',
n_items = 10,
range = c( Min = 0, Max = 40 ),
abbreviation = 'AUDIT',
cut_off = c( Hazardous = 8, Harmful = 16, `High risk` = 20 ),
reference = paste0(
'Allen, J. P., Reinert, D. F., Volk, R. J. ',
'(2001). The alcohol use disorders identification test: ',
'An aid to recognition of alcohol problems in primary ',
'care patients. Preventive Medicine, 33 (5), 428-433. ',
'https://doi.org/10.1006/pmed.2001.0910'
),
reference_identifier = c(
DOI = '10.1006/pmed.2001.0910'
),
interpretation = paste0(
"Higher scores indicate more problematic alcohol use ",
"behavior"
),
values_and_labels = ""
)
# Close 'AUDIT'
}
#### 1.4) AUQ ####
if ( abbreviation %in% c( 'AUQ', 'URGE' ) ) {
### Overall
out$Description <- paste0(
'Scores for the AUQ - measure ',
'of the degree to which a person craves alcohol'
)
out$Units <- "Summed score"
out$Scale <- list(
name = 'Alcohol Urge Questionnaire',
n_items = 8,
range = c( Min = 8, Max = 56 ),
abbreviation = 'AUQ',
cut_off = NA,
reference = paste0(
'Bohn, M. J., Krahn, D. D., & Staehler, B. A. (1995). ',
'Development and initial validation of a measure of ',
'drinking urges in abstinent alcoholics. Alcoholism: ',
'clinical and experimental research, 19(3), 600-606. ',
'https://doi.org/10.1111/j.1530-0277.1995.tb01554.x'
),
reference_identifier = c(
DOI = '10.1111/j.1530-0277.1995.tb01554.x'
),
interpretation = paste0(
'Higher scores indicate greater craving of alcohol'
),
values_and_labels = list(
content = 1:7,
additional_content = c(
'Strongly disagree',
'',
'',
'',
'',
'',
'Strongly agree'
)
)
)
### Subscales
if ( subscale != '' ) {
### Urge
if ( subscale %in% c( 'URGE', 'Urge', 'urge' ) ) {
out$Description <- paste0(
'Scores for the AUQ Urge subscale - measure of the urge ',
'to consume alcohol'
)
out$Units <- 'Mean score'
out$Subscale <- list(
name = 'Alcohol Consumption Urge',
n_items = 3,
range = c( Min = 0, Max = 4 ),
cut_off = NA,
interpretation = paste0(
'Higher scores indicate greater urge to consume alcohol'
)
)
# Close 'Urge'
}
# Close 'Subscales'
}
# Close 'AUQ'
}
#### 1.5) AIS ####
if ( abbreviation == 'AIS' ) {
out$Description <- paste0(
'Scores for the AIS - measure of the degree of insomnia ',
'experienced by a subject'
)
out$Units <- "Summed score"
out$Scale <- list(
name = 'Athens Insomnia Scale',
n_items = 8,
range = c( Min = 0, Max = 24 ),
abbreviation = 'AIS',
cut_off = c(
`Insomnia` = 6
),
reference = c(
paste0(
'Soldatos, C. R., Dikeos, D.G., & Paparrigopoulos, T.J. ',
'(2000). Athens insomnia scale: Validation of an ',
'instrument based on ICD-10 criteria. Journal of ',
'Psychosomatic Research, 48 (6), 555–560. ',
'https://doi.org/10.1016/s0022-3999(00)00095-7'
),
paste0(
'Soldatos, C. R., Dikeos, D. G., & Paparrigopoulos, T. J. ',
'(2003). The diagnostic validity of the Athens Insomnia Scale. ',
'Journal of Psychosomatic Research, 55 (3), 263-267. ',
'https://doi.org/10.1016/S0022-3999(02)00604-9'
)
),
reference_identifier = c(
DOI = '10.1016/s0022-3999(00)00095-7',
DOI = '10.1016/S0022-3999(02)00604-9'
),
interpretation = paste0(
"Higher scores indicate a greater degree of insomnia"
),
values_and_labels = ""
)
# Close 'AIS'
}
#### 1.6) BIS-11 ####
if ( abbreviation %in% c( 'BIS', 'BIS-11' ) ) {
### Overall
out$Description <- paste0(
'Scores for the AIS - measure of the degree of insomnia ',
'experienced by a subject'
)
out$Units <- "Summed score"
out$Scale <- list(
name = 'Barratt Impulsiveness Scale',
n_items = 30,
range = c( Min = 30, Max = 120 ),
abbreviation = 'BIS-11',
cut_off = c( High = 72 ),
reference = paste0(
'Patton, J. H., Stanford, M. S., & Barratt, E. S. (1995). ',
'Factor structure of the Barratt Impulsiveness Scale. ',
'Journal of clinical psychology, 51(6), 768-774. ',
'https://doi.org/10.1002/1097-4679(199511)51:6<',
'768::AID-JCLP2270510607>3.0.CO;2-1'
),
reference_identifier = c(
paste0(
DOI = '10.1002/1097-4679(199511)51:6<',
'768::AID-JCLP2270510607>3.0.CO;2-1'
)
),
interpretation = paste0(
'Higher scores indicate greater impulsivity'
),
values_and_labels = list(
content = 1:4,
additional_content = c( "", "", "", "" )
)
)
### Subscales
if ( subscale != '' ) {
### Attentional
if ( subscale %in% c( 'Attentional', 'attentional' ) ) {
out$Description <- paste0(
'Scores for the BIS-11 Attentional Facet - ',
'measure of attention span'
)
out$Units <- 'Summed score'
out$Subscale <- list(
name = 'Attentional',
n_items = 8,
range = c( Min = 8, Max - 32 ),
cut_off = NA,
interpretation = paste0(
'Higher scores indicate poorer attention span and ',
'poorer cognitive stability'
)
)
# Close 'Attentional'
}
### Motor
if ( subscale %in% c( 'Motor', 'motor' ) ) {
out$Description <- paste0(
'Scores for the BIS-11 Motor Facet - ',
'measure of control over motor impulses'
)
out$Units <- 'Summed score'
out$Subscale <- list(
name = 'Motor',
n_items = 11,
range = c( 11, 44 ),
cut_off = NA,
interpretation = paste0(
'Higher scores indicate poorer control over ',
'motor actions'
)
)
# Close 'Motor'
}
### Planning
if ( subscale %in% c( 'Planning', 'planning' ) ) {
out$Description <- paste0(
'Scores for the BIS-11 Planning Facet - ',
'measure of control in planning for the future'
)
out$Units <- 'Summed score'
out$Subscale <- list(
name = 'Planning',
n_items = 11,
range = c( Min = 11, Max = 44 ),
cut_off = NA,
interpretation = paste0(
'Higher scores indicate poorer self-control ',
'in planning for the future'
)
)
# Close 'Planning'
}
# Close 'Subscales'
}
# Close 'BIS-11'
}
#### 1.7) BRIEF CHECK!!! ####
if ( abbreviation %in% c( 'BRIEF', 'BRIEF-A' ) ) {
out$Description <- paste0(
'Scores for the BRIEF - measure of executive ',
'function impairment for adolescents'
)
out$Units <- 'Summed score'
out$Scale <- list(
name = 'Behavior Rating Inventory of Executive Function',
n_items = 75,
range = c( Min = 75, Max = 525 ),
abbreviation = 'BRIEF',
cut_off = NA,
reference = paste0(
'Baron, I. S. (2000). Behavior Rating Inventory of ',
'Executive Function. Child Neuropsychology, 6(3), 235–238. ',
'https://doi.org/10.1076/chin.6.3.235.3152'
),
reference_identifier = c(
),
interpretation = paste0(
'Higher scores indicate poorer executive function'
)
)
# Close 'BRIEF'
}
#### 1.8) BRIEF2 CHECK!!! ####
if ( abbreviation %in% c( 'BRIEF2' ) ) {
out$Description <- NULL
out$Units <- NULL
out$Scale <- list(
name = 'Behavior Rating Inventory of Executive Function - 2nd Edition',
n_items = 55,
range = c( Min = NA, Max = NA ),
abbreviation = 'BRIEF2',
cut_off = NA,
reference = paste0(
'Hendrickson, N. K., & McCrimmon, A. W. (2019). ',
'Test Review: Behavior Rating Inventory of Executive ',
'Function®, Second Edition (BRIEF®2) by Gioia, G. A., ',
'Isquith, P. K., Guy, S. C., & Kenworthy, L. Canadian ',
'Journal of School Psychology, 34 (1), 73–78. ',
'https://doi.org/10.1177/0829573518797762'
),
reference_identifier = c(
DOI = "10.1177/0829573518797762"
),
interpretation = "",
values_and_labels = list(
content = 1:3,
additional_content = c( 'Never', 'Sometimes', 'Often' )
)
)
### Subscales
if ( subscale != '' ) {
#### 1.8.1) Scores for Inhibit subscale ####
### Inhibit (Raw)
if ( subscale == 'Inhibit (Raw)' ) {
out$Description <- paste0(
'Raw score for the BRIEF2 inhibit subscale - ',
'measure of inhibitory control and impulsivity'
)
out$Units <- "Summed score"
out$Subscale <- list(
name = 'Inhibit (Raw)',
n_items = 8,
range = c( Min = 8, Max = 24 ),
cut_off = NA,
interpretation = paste0(
"Higher scores indicate less inhibitory control and ",
"greater impulsivity"
)
)
# Close 'Inhibit (Raw)'
}
### Inhibit (Percentile)
if ( subscale == 'Inhibit (Percentile)' ) {
out$Description <- paste0(
'Percentile rank for the BRIEF2 inhibit subscale - ',
'measure of inhibitory control and impulsivity'
)
out$Units <- "Percentile rank"
out$Subscale <- list(
name = 'Inhibit (Percentile)',
n_items = 8,
range = c( Min = 0, Max = 100 ),
cut_off = NA,
interpretation = paste0(
"Higher scores indicate less inhibitory control and ",
"greater impulsivity"
)
)
# Close 'Inhibit (Percentile)'
}
### Inhibit (T-score)
if ( subscale == 'Inhibit (T-score)' ) {
out$Description <- paste0(
'T-score for the BRIEF2 inhibit subscale - ',
'measure of inhibitory control and impulsivity'
)
out$Units <- "T-score"
out$Subscale <- list(
name = 'Inhibit (T-score)',
n_items = 8,
range = c( Mean = 50, SD = 10 ),
cut_off = c( `Clinically elevated` = 70 ),
interpretation = paste0(
"Higher scores indicate less inhibitory control and ",
"greater impulsivity"
)
)
# Close 'Inhibit (T-score)'
}
#### 1.8.2) Scores for Self-Monitor subscale ####
### Self-Monitor (Raw)
if ( subscale == 'Self-Monitor (Raw)' ) {
out$Description <- paste0(
'Raw score for the BRIEF2 self-monitor subscale - ',
'measure of how aware individuals are on the impact of ',
'their behavior on others and outcomes'
)
out$Units <- "Summed score"
out$Subscale <- list(
name = 'Self-Monitor (Raw)',
n_items = 5,
range = c( Min = 5, Max = 15 ),
cut_off = NA,
interpretation = paste0(
"Higher scores indicate greater difficulty in ",
"monitoring impact of one's behavior"
)
)
# Close 'Self-Monitor (Raw)'
}
### Self-Monitor (Percentile)
if ( subscale == 'Self-Monitor (Percentile)' ) {
out$Description <- paste0(
'Percentile rank for the BRIEF2 self-monitor subscale - ',
'measure of how aware individuals are on the impact of ',
'their behavior on others and outcomes'
)
out$Units <- "Percentile rank"
out$Subscale <- list(
name = 'Self-Monitor (Percentile)',
n_items = 5,
range = c( Min = 0, Max = 100 ),
cut_off = NA,
interpretation = paste0(
"Higher scores indicate greater difficulty in ",
"monitoring impact of one's behavior"
)
)
# Close 'Self-Monitor (Percentile)'
}
### Self-Monitor (T-score)
if ( subscale == 'Self-Monitor (T-score)' ) {
out$Description <- paste0(
'T-score for the BRIEF2 self-Monitor subscale - ',
'measure of how aware individuals are on the impact of ',
'their behavior on others and outcomes'
)
out$Units <- "T-score"
out$Subscale <- list(
name = 'Self-Monitor (T-score)',
n_items = 5,
range = c( Mean = 50, SD = 10 ),
cut_off = c( `Clinically elevated` = 70 ),
interpretation = paste0(
"Higher scores indicate greater difficulty in ",
"monitoring impact of one's behavior"
)
)
# Close 'Self-Monitor (T-score)'
}
#### 1.8.3) Scores for Shift subscale ####
### Shift (Raw)
if ( subscale == 'Shift (Raw)' ) {
out$Description <- paste0(
'Raw score for the BRIEF2 shift subscale - ',
'measure of ability to adapt to different ',
'situations or activities or problems as ',
'circumstance demands'
)
out$Units <- "Summed score"
out$Subscale <- list(
name = 'Shift (Raw)',
n_items = 8,
range = c( Min = 8, Max = 24 ),
cut_off = NA,
interpretation = paste0(
"Higher scores indicate a greater tendency ",
"to get stuck or focused on a given topic or problem"
)
)
# Close 'Shift (Raw)'
}
### Shift (Percentile)
if ( subscale == 'Shift (Percentile)' ) {
out$Description <- paste0(
'Percentile rank for the BRIEF2 shift subscale - ',
'measure of ability to adapt to different ',
'situations or activities or problems as ',
'circumstance demands'
)
out$Units <- "Percentile rank"
out$Subscale <- list(
name = 'Shift (Percentile)',
n_items = 8,
range = c( Min = 0, Max = 100 ),
cut_off = NA,
interpretation = paste0(
"Higher scores indicate a greater tendency ",
"to get stuck or focused on a given topic or problem"
)
)
# Close 'Shift (Percentile)'
}
### Shift (T-score)
if ( subscale == 'Shift (T-score)' ) {
out$Description <- paste0(
'T-score for the BRIEF2 shift subscale - ',
'measure of ability to adapt to different ',
'situations or activities or problems as ',
'circumstance demands'
)
out$Units <- "T-score"
out$Subscale <- list(
name = 'Shift (T-score)',
n_items = 8,
range = c( Mean = 50, SD = 10 ),
cut_off = c( `Clinically elevated` = 70 ),
interpretation = paste0(
"Higher scores indicate a greater tendency ",
"to get stuck or focused on a given topic or problem"
)
)
# Close 'Shift (T-score)'
}
#### 1.8.4) Scores for Emotional Control subscale ####
### Emotional control (Raw)
if ( subscale == 'Emotional Control (Raw)' ) {
out$Description <- paste0(
'Raw score for the BRIEF2 emotional control subscale - ',
'measure of impact of executive function on emotional ',
'expression and ability to modulate emotional responses'
)
out$Units <- "Summed score"
out$Subscale <- list(
name = 'Emotional Control (Raw)',
n_items = 6,
range = c( Min = 6, Max = 18 ),
cut_off = NA,
interpretation = paste0(
"Higher scores indicate a greater tendency to ",
"have overblown emotional reactions to minor events"
)
)
# Close 'Emotional Control (Raw)'
}
### Emotional Control (Percentile)
if ( subscale == 'Emotional Control (Percentile)' ) {
out$Description <- paste0(
'Percentile rank for the BRIEF2 emotional control subscale - ',
'measure of impact of executive function on emotional ',
'expression and ability to modulate emotional responses'
)
out$Units <- "Percentile rank"
out$Subscale <- list(
name = 'Emotional Control (Percentile)',
n_items = 6,
range = c( Min = 0, Max = 100 ),
cut_off = NA,
interpretation = paste0(
"Higher scores indicate a greater tendency to ",
"have overblown emotional reactions to minor events"
)
)
# Close 'Emotional Control (Percentile)'
}
### Emotional Control (T-score)
if ( subscale == 'Emotional Control (T-score)' ) {
out$Description <- paste0(
'T-score for the BRIEF2 emotional control subscale - ',
'measure of impact of executive function on emotional ',
'expression and ability to modulate emotional responses'
)
out$Units <- "T-score"
out$Subscale <- list(
name = 'Emotional Control (T-score)',
n_items = 6,
range = c( Mean = 50, SD = 10 ),
cut_off = c( `Clinically elevated` = 70 ),
interpretation = paste0(
"Higher scores indicate a greater tendency to ",
"have overblown emotional reactions to minor events"
)
)
# Close 'Emotional Control (T-score)'
}
#### 1.8.5) Scores for Task Completion subscale ####
### Task Completion (Raw)
if ( subscale == 'Task Completion (Raw)' ) {
out$Description <- paste0(
'Raw score for the BRIEF2 task completion subscale - ',
'measure of ability to independently generate ideas or ',
'responses or problem-solving strategies and finish a task'
)
out$Units <- "Summed score"
out$Subscale <- list(
name = 'Task Completion (Raw)',
n_items = 7,
range = c( Min = 7, Max = 21 ),
cut_off = NA,
interpretation = paste0(
"Higher scores indicate greater difficulty in generating ",
"problem-solving approaches and completing tasks"
)
)
# Close 'Task Completion (Raw)'
}
### Task Completion (Percentile)
if ( subscale == 'Task Completion (Percentile)' ) {
out$Description <- paste0(
'Percentile rank for the BRIEF2 task completion subscale - ',
'measure of ability to independently generate ideas or ',
'responses or problem-solving strategies and finish a task'
)
out$Units <- "Percentile rank"
out$Subscale <- list(
name = 'Task Completion (Percentile)',
n_items = 7,
range = c( Min = 0, Max = 100 ),
cut_off = NA,
interpretation = paste0(
"Higher scores indicate greater difficulty in generating ",
"problem-solving approaches and completing tasks"
)
)
# Close 'Task Completion (Percentile)'
}
### Task Completion (T-score)
if ( subscale == 'Task Completion (T-score)' ) {
out$Description <- paste0(
'T-score for the BRIEF2 task completion subscale - ',
'measure of ability to independently generate ideas or ',
'responses or problem-solving strategies and finish a task'
)
out$Units <- "T-score"
out$Subscale <- list(
name = 'Task Completion (T-score)',
n_items = 7,
range = c( Mean = 50, SD = 10 ),
cut_off = c( `Clinically elevated` = 70 ),
interpretation = paste0(
"Higher scores indicate greater difficulty in generating ",
"problem-solving approaches and completing tasks"
)
)
# Close 'Task Completion (T-score)'
}
#### 1.8.6) Scores for Working Memory subscale ####
### Working Memory (Raw)
if ( subscale == 'Working Memory (Raw)' ) {
out$Description <- paste0(
'Raw score for the BRIEF2 working memory subscale - ',
'measure of online representational memory - capacity ',
'to hold or encode information in mind'
)
out$Units <- "Summed score"
out$Subscale <- list(
name = 'Working Memory (Raw)',
n_items = 8,
range = c( Min = 8, Max = 24 ),
cut_off = NA,
interpretation = paste0(
"Higher scores indicate greater difficulty in ",
"keeping relevant information in mind for problem ",
"solving"
)
)
# Close 'Working Memory (Raw)'
}
### Working Memory (Percentile)
if ( subscale == 'Working Memory (Percentile)' ) {
out$Description <- paste0(
'Percentile rank for the BRIEF2 working memory subscale - ',
'measure of online representational memory - capacity ',
'to hold or encode information in mind'
)
out$Units <- "Percentile rank"
out$Subscale <- list(
name = 'Working Memory (Percentile)',
n_items = 8,
range = c( Min = 0, Max = 100 ),
cut_off = NA,
interpretation = paste0(
"Higher scores indicate greater difficulty in ",
"keeping relevant information in mind for problem ",
"solving"
)
)
# Close 'Working Memory (Percentile)'
}
### Working Memory (T-score)
if ( subscale == 'Working Memory (T-score)' ) {
out$Description <- paste0(
'T-score for the BRIEF2 working memory subscale - ',
'measure of online representational memory - capacity ',
'to hold or encode information in mind'
)
out$Units <- "T-score"
out$Subscale <- list(
name = 'Working Memory (T-score)',
n_items = 8,
range = c( Mean = 50, SD = 10 ),
cut_off = c( `Clinically elevated` = 70 ),
interpretation = paste0(
"Higher scores indicate greater difficulty in ",
"keeping relevant information in mind for problem ",
"solving"
)
)
# Close 'Working Memory (T-score)'
}
#### 1.8.7) Scores for Plan|Organize subscale ####
### Plan|Organize (Raw)
if ( subscale == 'Plan|Organize (Raw)' ) {
out$Description <- paste0(
'Raw score for the BRIEF2 plan|organize subscale - ',
'measure of ability to mange current and future-oriented ',
'task demands'
)
out$Units <- "Summed score"
out$Subscale <- list(
name = 'Plan|Organize (Raw)',
n_items = 10,
range = c( Min = 10, Max = 30 ),
cut_off = NA,
interpretation = paste0(
"Higher scores indicate greater difficulty in planning ",
"and organizing"
)
)
# Close 'Plan|Organize (Raw)'
}
### Plan|Organize (Percentile)
if ( subscale == 'Plan|Organize (Percentile)' ) {
out$Description <- paste0(
'Percentile rank for the BRIEF2 plan|organize subscale - ',
'measure of ability to mange current and future-oriented ',
'task demands'
)
out$Units <- "Percentile rank"
out$Subscale <- list(
name = 'Plan|Organize (Percentile)',
n_items = 10,
range = c( Min = 0, Max = 100 ),
cut_off = NA,
interpretation = paste0(
"Higher scores indicate greater difficulty in planning ",
"and organizing"
)
)
# Close 'Plan|Organize (Percentile)'
}
### Plan|Organize (T-score)
if ( subscale == 'Plan|Organize (T-score)' ) {
out$Description <- paste0(
'T-score for the BRIEF2 plan|organize subscale - ',
'measure of ability to mange current and future-oriented ',
'task demands'
)
out$Units <- "T-score"
out$Subscale <- list(
name = 'Plan|Organize (T-score)',
n_items = 10,
range = c( Mean = 50, SD = 10 ),
cut_off = c( `Clinically elevated` = 70 ),
interpretation = paste0(
"Higher scores indicate greater difficulty in planning ",
"and organizing"
)
)
# Close 'Plan|Organize (T-score)'
}
#### 1.8.8) Scores for Behavioral Regulation subscale ####
### Behavioral Regulation (Raw)
if ( subscale == 'Behavioral Regulation (Raw)' ) {
out$Description <- paste0(
'Raw score for the BRIEF2 behavioral regulation subscale - ',
'measure of ability to regulate and monitor behavior ',
'effectively'
)
out$Units <- "Summed score"
out$Subscale <- list(
name = 'Behavioral Regulation (Raw)',
n_items = 13,
range = c( Min = 13, Max = 39 ),
cut_off = NA,
interpretation = paste0(
"Higher scores indicate greater difficulty in ",
"behavioral regulation"
)
)
# Close 'Behavioral Regulation (Raw)'
}
### Behavioral Regulation (Percentile)
if ( subscale == 'Behavioral Regulation (Percentile)' ) {
out$Description <- paste0(
'Percentile rank for the BRIEF2 behavioral regulation subscale - ',
'measure of ability to regulate and monitor behavior ',
'effectively'
)
out$Units <- "Percentile rank"
out$Subscale <- list(
name = 'Behavioral Regulation (Percentile)',
n_items = 13,
range = c( Min = 0, Max = 100 ),
cut_off = NA,
interpretation = paste0(
"Higher scores indicate greater difficulty in ",
"behavioral regulation"
)
)
# Close 'Behavioral Regulation (Percentile)'
}
### Behavioral Regulation (T-score)
if ( subscale == 'Behavioral Regulation (T-score)' ) {
out$Description <- paste0(
'T-score for the BRIEF2 behavioral regulation subscale - ',
'measure of ability to regulate and monitor behavior ',
'effectively'
)
out$Units <- "T-score"
out$Subscale <- list(
name = 'Behavioral Regulation (T-score)',
n_items = 13,
range = c( Mean = 50, SD = 10 ),
cut_off = c( `Clinically elevated` = 70 ),
interpretation = paste0(
"Higher scores indicate greater difficulty in ",
"behavioral regulation"
)
)
# Close 'Behavioral Regulation (T-score)'
}
#### 1.8.9) Scores for Emotion Regulation subscale ####
### Emotion Regulation (Raw)
if ( subscale == 'Emotion Regulation (Raw)' ) {
out$Description <- paste0(
'Raw score for the BRIEF2 emotion regulation subscale - ',
'measure of ability to regulate emotional responses ',
'and to adapt to changes in situations and demands'
)
out$Units <- "Summed score"
out$Subscale <- list(
name = 'Emotion Regulation (Raw)',
n_items = 14,
range = c( Min = 14, Max = 42 ),
cut_off = NA,
interpretation = paste0(
"Higher scores indicate greater difficulty in ",
"emotional regulation"
)
)
# Close 'Emotion Regulation (Raw)'
}
### Emotion Regulation (Percentile)
if ( subscale == 'Emotion Regulation (Percentile)' ) {
out$Description <- paste0(
'Percentile rank for the BRIEF2 emotion regulation subscale - ',
'measure of ability to regulate emotional responses ',
'and to adapt to changes in situations and demands'
)
out$Units <- "Percentile rank"
out$Subscale <- list(
name = 'Emotion Regulation (Percentile)',
n_items = 14,
range = c( Min = 0, Max = 100 ),
cut_off = NA,
interpretation = paste0(
"Higher scores indicate greater difficulty in ",
"emotional regulation"
)
)
# Close 'Emotion Regulation (Percentile)'
}
### Emotion Regulation (T-score)
if ( subscale == 'Emotion Regulation (T-score)' ) {
out$Description <- paste0(
'T-score for the BRIEF2 emotion regulation subscale - ',
'measure of ability to regulate emotional responses ',
'and to adapt to changes in situations and demands'
)
out$Units <- "T-score"
out$Subscale <- list(
name = 'Emotion Regulation (T-score)',
n_items = 14,
range = c( Mean = 50, SD = 10 ),
cut_off = c( `Clinically elevated` = 70 ),
interpretation = paste0(
"Higher scores indicate greater difficulty in ",
"emotional regulation"
)
)
# Close 'Emotion Regulation (T-score)'
}
#### 1.8.10) Scores for Cognitive Regulation subscale ####
### Cognitive Regulation (Raw)
if ( subscale == 'Cognitive Regulation (Raw)' ) {
out$Description <- paste0(
'Raw score for the BRIEF2 cognitive regulation subscale - ',
'measure of ability to control and manage cognitive processes ',
'and to problem-solve effectively'
)
out$Units <- "Summed score"
out$Subscale <- list(
name = 'Cognitive Regulation (Raw)',
n_items = 25,
range = c( Min = 25, Max = 75 ),
cut_off = NA,
interpretation = paste0(
"Higher scores indicate greater difficulty in ",
"cognitive regulation"
)
)
# Close 'Cognitive Regulation (Raw)'
}
### Cognitive Regulation (Percentile)
if ( subscale == 'Cognitive Regulation (Percentile)' ) {
out$Description <- paste0(
'Percentile rank for the BRIEF2 cognitive regulation subscale - ',
'measure of ability to control and manage cognitive processes ',
'and to problem-solve effectively'
)
out$Units <- "Percentile rank"
out$Subscale <- list(
name = 'Cognitive Regulation (Percentile)',
n_items = 25,
range = c( Min = 0, Max = 100 ),
cut_off = NA,
interpretation = paste0(
"Higher scores indicate greater difficulty in ",
"cognitive regulation"
)
)
# Close 'Cognitive Regulation (Percentile)'
}
### Cognitive Regulation (T-score)
if ( subscale == 'Cognitive Regulation (T-score)' ) {
out$Description <- paste0(
'T-score for the BRIEF2 cognitive regulation subscale - ',
'measure of ability to control and manage cognitive processes ',
'and to problem-solve effectively'
)
out$Units <- "T-score"
out$Subscale <- list(
name = 'Cognitive Regulation (T-score)',
n_items = 25,
range = c( Mean = 50, SD = 10 ),
cut_off = c( `Clinically elevated` = 70 ),
interpretation = paste0(
"Higher scores indicate greater difficulty in ",
"cognitive regulation"
)
)
# Close 'Cognitive Regulation (T-score)'
}
#### 1.8.11) Scores for General Executive subscale ####
### General Executive (Raw)
if ( subscale == 'General Executive (Raw)' ) {
out$Description <- paste0(
'Raw score for the BRIEF2 general executive subscale - ',
'measure of general executive functioning'
)
out$Units <- "Summed score"
out$Subscale <- list(
name = 'General Executive (Raw)',
n_items = 55,
range = c( Min = 55, Max = 165 ),
cut_off = NA,
interpretation = paste0(
"Higher scores indicate greater overall problems in ",
"general executive functioning"
)
)
# Close 'General Executive (Raw)'
}
### General Executive (Percentile)
if ( subscale == 'General Executive (Percentile)' ) {
out$Description <- paste0(
'Percentile rank for the BRIEF2 general executive subscale - ',
'measure of general executive functioning'
)
out$Units <- "Percentile rank"
out$Subscale <- list(
name = 'General Executive (Percentile)',
n_items = 55,
range = c( Min = 0, Max = 100 ),
cut_off = NA,
interpretation = paste0(
"Higher scores indicate greater overall problems in ",
"general executive functioning"
)
)
# Close 'General Executive (Percentile)'
}
### General Executive (T-score)
if ( subscale == 'General Executive (T-score)' ) {
out$Description <- paste0(
'T-score for the BRIEF2 general executive subscale - ',
'measure of general executive functioning'
)
out$Units <- "T-score"
out$Subscale <- list(
name = 'General Executive (T-score)',
n_items = 55,
range = c( Mean = 50, SD = 10 ),
cut_off = c( `Clinically elevated` = 70 ),
interpretation = paste0(
"Higher scores indicate greater overall problems in ",
"general executive functioning"
)
)
# Close 'General Executive (T-score)'
}
# Close 'Subscales'
}
# Close 'BRIEF2'
}
#### 1.9) BPI ####
if ( abbreviation %in% c( 'BPI', 'BPI-SF' ) ) {
### Overall
out$Description = NULL
out$Units = NULL
out$Scale <- list(
name = 'Brief Pain Inventory (Short form)',
n_items = 11,
range = c( Min = NA, Max = NA ),
abbreviation = 'BPI-SF',
cut_off = NA,
reference = paste0(
'Cleeland, C. S., & Ryan, K. M. (1994). Pain assessment: ',
'Global use of the Brief Pain Inventory. Annals of the ',
'Academy of Medicine, Singapore, 23(2), 129-138. '
),
reference_identifier = c(
PMID = "8080219"
),
interpretation = "",
values_and_labels = ""
)
### Subscales
if ( subscale != '' ) {
### Severity
if ( subscale == 'Severity' ) {
out$Description <- paste0(
'Scores for the BPI severity subscale - measure of the ',
'degree of pain severity experienced by a subject ',
'within the last 24 hours'
)
out$Units <- "Mean score"
out$Subscale <- list(
name = 'Pain severity',
n_items = 4,
range = c( Min = 0, Max = 10 ),
cut_off = NA,
interpretation = paste0(
"Higher scores indicate greater pain severity ",
"in the last 24 hours"
)
)
# Close 'Severity'
}
### Interference
if ( subscale == 'Interference' ) {
out$Description <- paste0(
'Scores for the BPI interference subscale - measure of ',
'the extent pain for a participant interfered with daily ',
'functioning'
)
out$Units <- "Mean score"
out$Subscale <- list(
name = 'Pain interference',
n_items = 7,
range = c( Min = 0, Max = 10 ),
cut_off = NA,
interpretation = paste0(
"Higher scores indicate greater pain interference ",
"in daily function"
)
)
# Close 'Interference'
}
# Close 'Subscales'
}
# Close 'BPI'
}
#### 1.10) BPAQ ####
if ( abbreviation %in% c( 'BPAQ' ) ) {
### Overall
out$Description = paste0(
"Total score for the BPAQ - measure of the degree of ",
"an individual's general aggression"
)
out$Units = "Summed score"
out$Scale <- list(
name = 'Buss-Perry Aggression Questionnaire',
n_items = 29,
range = c( Min = 29, Max = 145 ),
abbreviation = 'BPAQ',
cut_off = NA,
reference = paste0(
'Buss, A. H., & Perry, M. (1992). The Aggression ',
'Questionnaire. Journal of Personality and Social ',
'Psychology, 63 (3), 452-459. ',
'https://doi.org/10.1037/0022-3514.63.3.452'
),
reference_identifier = c(
DOI = "10.1037/0022-3514.63.3.452"
),
interpretation = "",
values_and_labels = list(
content = 1:5,
additional_content = c(
"Extremely uncharacteristic",
"Somewhat uncharacteristic",
"Neither uncharacteristic or characteristic",
"Somewhat characteristic",
"Extremely characteristic"
)
)
)
### Subscales
if ( subscale != '' ) {
### Physical Aggression
if ( subscale %in% c( 'Physical Aggression', 'BPAQ-PA' ) ) {
out$Description <- paste0(
'Scores for the BPAQ-PA – measure of the level of physical ',
'aggression of a subject'
)
out$Units <- 'Summed score'
out$Subscale <- list(
name = 'Physical Aggression',
n_items = 9,
range = c( Min = 9, Max = 45 ),
cut_off = NA,
interpretation = paste0(
'Higher scores indicate higher physically aggressive behavior'
)
)
# Close 'Physical Aggression'
}
### Verbal Aggression
if ( subscale %in% c( 'Verbal Aggression', 'BPAQ-VA' ) ) {
out$Description <- paste0(
'Scores for the BPAQ-VA – measure of the level of verbal ',
'aggression of a subject'
)
out$Units <- 'Mean score'
out$Subscale <- list(
name = 'Verbal Aggression',
n_items = 5,
range = c( Min = 5, Max = 25 ),
cut_off = NA,
interpretation = paste0(
'Higher scores indicate higher verbally aggressive behavior'
)
)
# Close 'Verbal Aggression'
}
### Anger
if ( subscale %in% c( 'Anger', 'BPAQ-A' ) ) {
out$Description <- paste0(
'Scores for the BPAQ-A – measure of the level of anger of a subject'
)
out$Units <- 'Mean score'
out$Subscale <- list(
name = 'Anger',
n_items = 7,
range = c( Min = 7, Max = 35 ),
cut_off = NA,
interpretation = paste0(
'Higher scores indicate higher anger'
)
)
# Close 'Anger'
}
### Hostility
if ( subscale %in% c( 'Hostility', 'BPAQ-H' ) ) {
out$Description <- paste0(
'Scores for the BPAQ-H – measure of the level of hostility of ',
'a subject'
)
out$Units <- 'Mean score'
out$Subscale <- list(
name = 'Hostility',
n_items = 8,
range = c( Min = 8, Max = 40 ),
cut_off = NA,
interpretation = paste0(
'Higher scores indicate higher hostility'
)
)
# Close 'Hostility'
}
# Close 'Subscales'
}
# Close 'BPAQ'
}
#### 1.11) CUDIT-R ####
if ( abbreviation %in% c( 'CUDIT', 'CUDIT-R' ) ) {
out$Description <- paste0(
'Scores for the CUDIT-R - measure ',
'of the degree of problematic cannabis use behavior ',
'for a subject'
)
out$Units <- "Summed score"
out$Scale <- list(
name = 'Cannabis Use Disorder Identification Test - Revised',
n_items = 8,
range = c( Min = 0, Max = 32 ),
abbreviation = 'CUDIT-R',
cut_off = c( Hazardous = 8, Possible_disorder = 12 ),
reference = paste0(
'Adamson, S. J., Kay-Lambkin, F. J., Baker, A. L., ',
'Lewin, T. J., Thornton, L., Kelly, B. J., & Sellman, J. D. ',
'(2010) An improved brief measure of cannabis misuse: ',
'The cannabis use disorders identification test - revised ',
'(CUDIT-R). Drug and Alcohol Dependence, 110, 137-143. ',
'https://doi.org/10.1016/j.drugalcdep.2010.02.017'
),
reference_identifier = c(
DOI = "10.1016/j.drugalcdep.2010.02.017"
),
interpretation = paste0(
"Higher scores indicate more problematic cannabis use"
),
values_and_labels = ""
)
# Close 'CUDIT-R'
}
#### 1.12) CWS ####
if ( abbreviation %in% c( 'CWS' ) ) {
### Overall
out$Description = NULL
out$Units = NULL
out$Scale <- list(
name = 'Cannabis Withdrawal Scale',
n_items = 38,
range = c( Min = NA, Max = NA ),
abbreviation = 'CWS',
cut_off = NA,
reference = paste0(
'Allsop, D. J., Norberg, M. M., Copeland, J., Fu, S., & ',
'Budney, A. J. (2011). The Cannabis Withdrawal Scale development: ',
'Patterns and predictors of cannabis withdrawal and distress. ',
'Drug Alcohol Dependence, 119, 123-129. ',
'https://doi.org/10.1016/j.drugalcdep.2011.06.003'
),
reference_identifier = c(
DOI = "10.1016/j.drugalcdep.2011.06.003"
),
interpretation = "",
values_and_labels = list(
content = 0:10,
additional_content = c(
"Not at all", # 0
"", "", "", "", # 1 - 4
"Moderately", # 5
"", "", "", "", # 6 - 9
"Strongly agree" # 10
)
)
)
### Subscales
if ( subscale != '' ) {
### Intensity
if ( subscale %in% c( 'Intensity' ) ) {
out$Description <- paste0(
'Scores for the CWS intensity subscale - measure of ',
'intensity of cannabis withdrawal symptoms'
)
out$Units <- "Summed score"
out$Subscale <- list(
name = 'Intensity',
n_items = 19,
range = c( Min = 0, Max = 190 ),
cut_off = NA,
interpretation = paste0(
"Higher scores indicate more intense ",
"cannabis withdrawal symptoms"
)
)
# Close 'Intensity'
}
### Negative impact
if ( subscale == 'Negative impact' ) {
out$Description <- paste0(
'Scores for the CWS negative impact subscale - ',
'measure of distress or impairment in functioning ',
'due to withdrawal'
)
out$Units <- "Summed score"
out$Subscale <- list(
name = 'Negative impact',
n_items = 19,
range = c( Min = 0, Max = 190 ),
cut_off = NA,
interpretation = paste0(
"Higher scores indicate a greater degree of ",
"negative impact due to cannabis withdrawal"
)
)
# Close 'Negative impact'
}
# Close 'Subscales'
}
# Close 'CWS'
}
#### 1.13) CGI CHECK!!! ####
if ( abbreviation == 'CGI' ) {
### Overall
out$Description = NULL
out$Units = NULL
out$Scale <- list(
name = 'Clinical Global Impression scale',
n_items = 2,
range = c( Min = NA, Max = NA ),
abbreviation = 'CGI',
cut_off = NA,
reference = c(
paste0(
"Guy, W. (Ed.) (1976). ECDEU assessment manual for ",
"psychopharmacology. US Department of Heath, ",
"Education, and Welfare; Public Health Service ",
"Alcohol, Drug Abuse, and Mental Health Administration."
)
),
reference_identifier = c(
""
),
interpretation = "",
values_and_labels = list(
content = c( 1, 7, 1, 7 ),
additional_content = c(
"Not at all ill (Severity)",
"Among the most extremely ill patients (Severity)",
"Very much improved (Improvement)",
"Very much worse (Improvement)"
)
)
)
### Subscales
if ( subscale != '' ) {
### Severity
if ( subscale == 'Severity' ) {
out$Description <- paste0(
"Rating of illness severity at current time ",
"based on total clinical experience with particular ",
"population"
)
out$Units <- paste0(
"Likert scale"
)
out$Subscale <- list(
name = 'Severity of illness',
n_items = 1,
range = c( Min = 1, Max = 7 ),
cut_off = NA,
interpretation = paste0(
"Higher scores indicate indicate greater severity ",
"of illness"
)
)
# Close 'Severity'
}
### Improvement
if ( subscale == 'Improvement' ) {
out$Description <- paste0(
"Measure of total improvement irrespective of ",
"drug treatment compared to previous study ",
"visit for participant"
)
out$Units <- paste0(
"Likert scale"
)
out$Subscale <- list(
name = 'Global improvement',
n_items = 1,
range = c( Min = 1, Max = 7 ),
cut_off = NA,
interpretation = paste0(
"Higher scores indicate worsening of condition"
)
)
# Close 'Improvement'
}
# Close 'Subscales'
}
# Close 'CGI'
}
#### 1.14) CHRT ####
if ( abbreviation == 'CHRT' ) {
### Overall
out$Description <- paste0(
"Scores for the CHRT - measure of risk based on ",
"suicidal ideation and intent"
)
out$Units <- "Summed score"
out$Scale <- list(
name = 'Concise Health Risk Tracking scale',
n_items = 12,
range = c( Min = 0, Max = 48 ),
abbreviation = 'CHRT',
cut_off = c( NA ),
reference = c(
paste0(
"Trivedi, M. H., Wisniewski, S. R., Morris, D. W., Fava, M., ",
"Gollan, J. K., Warden, D., Nierenberg, A. A., Gaynes, B. N., ",
"Husain, M. M., Luther, J. F., Zisook, S., & Rush, A. J. ",
"(2011). Concise Health Risk Tracking scale: A brief ",
"self-report and clinician rating of suicidal risk. The ",
"Journal of Clinical Psychiatry, 72(6), 757-764. ",
"https://doi.org/10.4088/JCP.11m06837"
)
),
reference_identifier = c(
DOI = "10.4088/JCP.11m06837"
),
interpretation = paste0(
"Higher scores indicate greater risk of suicide"
),
values_and_labels = ""
)
### Subscales
if ( subscale != '' ) {
### Despair
if (subscale == 'Despair') {
out$Description <- paste0(
'Scores for the CHRT despair items - measure of ',
'degree of despair a person feels'
)
out$Units <- "Summed score"
out$Subscale <- list(
name = 'Despair',
n_items = 3,
range = c( Min = 0, Max = 12 ),
cut_off = NA,
interpretation = paste0(
"Higher scores indicate greater ",
"feelings of despair"
)
)
# Close 'Despair'
}
### Helplessness
if (subscale == 'Helplessness') {
out$Description <- paste0(
'Scores for the CHRT helplessness items - measure of ',
'how helpless a person feels'
)
out$Units <- "Summed score"
out$Subscale <- list(
name = 'Helplessness',
n_items = 2,
range = c( Min = 0, Max = 4 ),
cut_off = NA,
interpretation = paste0(
"Higher scores indicate greater ",
"feelings of helplessness"
)
)
# Close 'Helplessness'
}
### Lack of social support
if (subscale == 'Lack of social support') {
out$Description <- paste0(
'Scores for the CHRT lack of social support items',
' - measure of ',
'the degree a person feels a lack of social support'
)
out$Units <- "Summed score"
out$Subscale <- list(
name = 'Lack of social support',
n_items = 2,
range = c( Min = 0, Max = 4 ),
cut_off = NA,
interpretation = paste0(
"Higher scores indicate greater ",
"sense of a lack of social support"
)
)
# Close 'Lack of social support'
}
### Pessimism
if (subscale == 'Pessimism') {
out$Description <- paste0(
'Scores for the CHRT pessimism items',
' - measure of ',
'how pessimistic a person feels'
)
out$Units <- "Summed score"
out$Subscale <- list(
name = 'Pessimism',
n_items = 2,
range = c( Min = 0, Max = 8 ),
cut_off = NA,
interpretation = paste0(
"Higher scores indicate greater ",
"feelings of pessimism"
)
)
# Close 'Pessimism'
}
### Suicidal thoughts
if (subscale == 'Suicidal thoughts') {
out$Description <- paste0(
'Scores for the CHRT suicidal thought items',
' - measure of ',
'how often someone has suicidal thoughts'
)
out$Units <- "Summed score"
out$Subscale <- list(
name = 'Suicidal thoughts',
n_items = 3,
range = c( Min = 0, Max = 12 ),
cut_off = NA,
interpretation = paste0(
"Higher scores indicate more frequent ",
"occurences of suicidal thoughts"
)
)
# Close 'Suicidal thoughts'
}
### Propensity
if (subscale == 'Propensity') {
out$Description <- paste0(
'Scores for the CHRT propensity items',
' - measure of ',
'the propensity a person might have for suicide'
)
out$Units <- "Summed score"
out$Subscale <- list(
name = 'Propensity',
n_items = 9,
range = c( Min = 0, Max = 36 ),
cut_off = NA,
interpretation = paste0(
"Higher scores indicate a greater ",
"propensity towards suicide"
)
)
# Close 'Propensity'
}
# Close 'Subscales'
}
# Close 'CHRT'
}
#### 1.15) DOSPERT ####
if ( abbreviation == 'DOSPERT' ) {
### Overall
out$Description <- paste0(
"Scores for the DOSPERT - measure of propensity ",
"for risk-taking"
)
out$Units <- "Summed score"
out$Scale <- list(
name = 'Domain-Specific Risk-Taking Scale',
n_items = 90,
range = c( Min = 90, Max = 630 ),
abbreviation = 'DOSPERT',
cut_off = NA,
reference = paste0(
'Weber, E. U., Blais, A. R., & Betz, N. E. (2002). ',
'A domain‐specific risk‐attitude scale: Measuring ',
'risk perceptions and risk behaviors. Journal of ',
'behavioral decision making, 15 (4), 263-290. ',
'https://doi.org/10.1002/bdm.414'
),
reference_identifier = c(
DOI = "10.1002/bdm.414"
),
interpretation = paste0(
'Higher scores indicate greater propensity ',
'for risk-taking'
),
values_and_labels = ""
)
### Subscales
if ( subscale != '' ) {
### Ethical
if ( subscale %in% c( 'Ethical', 'ethical' ) ) {
out$Description <- paste0(
'Scores for the DOSPERT (E) - measure of ',
'risk-taking in ethical situations'
)
out$Units <- 'Summed score'
out$Subscale <- list(
name = 'Ethical',
n_items = 6,
range = c( Min = 6, Max = 42 ),
cut_off = NA,
interpretation = paste0(
'Higher scores indicate greater propensity ',
'to engage in ethically risky activities or behaviors'
)
)
# Close 'Ethical'
}
### Financial
if ( subscale %in% c( 'Financial', 'financial' ) ) {
out$Description <- paste0(
'Scores for the DOSPERT (F) - measure of ',
'risk-taking in financial situations'
)
out$Units <- 'Summed score'
out$Subscale <- list(
name = 'Financial',
n_items = 6,
range = c( Min = 6, Max = 42 ),
cut_off = NA,
interpretation = paste0(
'Higher scores indicate greater propensity ',
'to engage in financially risky activities or behaviors'
)
)
# Close 'Financial'
}
### Health/Safety
if ( subscale %in% c( 'Health/Safety', 'health/safety',
'Health/safety', 'Health', 'Safety',
'health', 'safety ' ) ) {
out$Description <- paste0(
'Scores for the DOSPERT (H/S) - measure of ',
'risk-taking in health/safety-related situations'
)
out$Units <- 'Summed score'
out$Subscale <- list(
name = 'Health/Safety',
n_items = 6,
range = c( Min = 6, Max = 42 ),
cut_off = NA,
interpretation = paste0(
'Higher scores indicate greater propensity ',
'to engage in activities or behaviors that pose ',
'a risk to personal health and safety'
)
)
# Close 'Health/Safety'
}
### Social
if ( subscale %in% c( 'Social', 'social' ) ) {
out$Description <- paste0(
'Scores for the DOSPERT (S) - measure of ',
'risk-taking in social situations'
)
out$Units <- 'Summed score'
out$Subscale <- list(
name = 'Social',
n_items = 6,
range = c( Min = 6, Max = 42 ),
cut_off = NA,
interpretation = paste0(
'Higher scores indicate greater propensity ',
'to engage in socially risky activities or behaviors'
)
)
# Close 'Social'
}
### Recreational
if ( subscale %in% c( 'Recreational', 'recreational' ) ) {
out$Description <- paste0(
'Scores for the DOSPERT (R) - measure of ',
'risk-taking in recreational situations'
)
out$Units <- 'Summed score'
out$Subscale <- list(
name = 'Recreational',
n_items = 6,
range = c( Min = 6, Max = 42 ),
cut_off = NA,
interpretation = paste0(
'Higher scores indicate greater propensity ',
'to engage in risky recreational activities'
)
)
# Close 'Recreational'
}
### Ethical Risk Perception
if ( subscale %in% c( 'Ethical Risk Perception',
'Ethical risk perception' ) ) {
out$Description <- paste0(
'Scores for the DOSPERT (EP) - measure of ',
'risk perception in ethical situations'
)
out$Units <- 'Summed score'
out$Subscale <- list(
name = 'Ethical Risk Perception',
n_items = 6,
range = c( Min = 6, Max = 42 ),
cut_off = NA,
interpretation = paste0(
'Higher scores indicate greater perception of risk ',
'in ethical situations'
)
)
# Close 'Ethical Risk Perception'
}
### Financial Risk Perception
if ( subscale %in% c( 'Financial Risk Perception',
'Financial risk perception' ) ) {
out$Description <- paste0(
'Scores for the DOSPERT (FP) - measure of ',
'risk perception in financial situations'
)
out$Units <- 'Summed score'
out$Subscale <- list(
name = 'Financial Risk Perception',
n_items = 6,
range = c( Min = 6, Max = 42 ),
cut_off = NA,
interpretation = paste0(
'Higher scores indicate greater perception of risk ',
'in financial situations'
)
)
# Close 'Financial Risk Perception'
}
### Health/Safety Risk Perception
if ( subscale %in% c( 'Health/Safety Risk Perception',
'Health/safety risk perception' ) ) {
out$Description <- paste0(
'Scores for the DOSPERT (H/SP) - measure of ',
'risk perception in health/safety-related situations'
)
out$Units <- 'Summed score'
out$Subscale <- list(
name = 'Health/Safety Risk Perception',
n_items = 6,
range = c( Min = 6, Max = 42 ),
cut_off = NA,
interpretation = paste0(
'Higher scores indicate greater perception of risk ',
'in health/safety-related situations'
)
)
# Close 'Health/Safety Risk Perception'
}
### Social Risk Perception
if ( subscale %in% c( 'Social Risk Perception',
'Social risk perception' ) ) {
out$Description <- paste0(
'Scores for the DOSPERT (SP) - measure of ',
'risk perception in social situations'
)
out$Units <- 'Summed score'
out$Subscale <- list(
name = 'Social Risk Perception',
n_items = 6,
range = c( Min = 6, Max = 42 ),
cut_off = NA,
interpretation = paste0(
'Higher scores indicate greater perception ',
'of risk in social situations'
)
)
# Close 'Social Risk Perception'
}
### Recreational Risk Perception
if ( subscale %in% c( 'Recreational Risk Perception',
'Recreational risk perception' ) ) {
out$Description <- paste0(
'Scores for the DOSPERT (RP) - measure of ',
'risk perception in recreational situations'
)
out$Units <- 'Summed score'
out$Subscale <- list(
name = 'Recreational Risk Perception',
n_items = 6,
range = c( Min = 6, Max = 42 ),
cut_off = NA,
interpretation = paste0(
'Higher scores indicate greater perception ',
'of risk in recreational situations'
)
)
# Close 'Recreational Risk Perception'
}
### Ethical Risk Benefit
if ( subscale %in% c( 'Ethical Risk Benefit',
'Ethical risk benefit' ) ) {
out$Description <- paste0(
'Scores for the DOSPERT (EB) - measure of expected ',
'benefit of risk-taking in ethical situations'
)
out$Units <- 'Summed score'
out$Subscale <- list(
name = 'Ethical Risk Benefit',
n_items = 6,
range = c( Min = 6, Max = 42 ),
cut_off = NA,
interpretation = paste0(
'Higher scores indicate greater expected ',
'benefits from risk-taking in ethical situations'
)
)
# Close 'Ethical Risk Benefit'
}
### Financial Risk Benefit
if ( subscale %in% c( 'Financial Risk Benefit',
'Financial risk benefit' ) ) {
out$Description <- paste0(
'Scores for the DOSPERT (FB) - measure of expected ',
'benefit of risk-taking in financial situations'
)
out$Units <- 'Summed score'
out$Subscale <- list(
name = 'Financial Risk Benefit',
n_items = 6,
range = c( Min = 6, Max = 42 ),
cut_off = NA,
interpretation = paste0(
'Higher scores indicate greater expected ',
'benefits from risk-taking in financial situations'
)
)
# Close 'Financial Risk Benefit'
}
### Health/Safety Risk Benefit
if ( subscale %in% c( 'Heatlh/Safety Risk Benefit',
'Health/safety risk benefit' ) ) {
out$Description <- paste0(
'Scores for the DOSPERT (H/SB) - measure of expected ',
'benefit of risk-taking in health/safety-related ',
'situations'
)
out$Units <- 'Summed score'
out$Subscale <- list(
name = 'Health/Safety Risk Benefit',
n_items = 6,
range = c( Min = 6, Max = 42 ),
cut_off = NA,
interpretation = paste0(
'Higher scores indicate greater expected ',
'benefits from risk-taking in health/safety-',
'related situations'
)
)
# Close 'Health/Safety Risk Benefit'
}
### Social Risk Benefit
if ( subscale %in% c( 'Social Risk Benefit',
'Social risk benefit' ) ) {
out$Description <- paste0(
'Scores for the DOSPERT (SB) - measure of expected ',
'benefit of risk-taking in social situations'
)
out$Units <- 'Summed score'
out$Subscale <- list(
name = 'Social Risk Benefit',
n_items = 6,
range = c( Min = 6, Max = 42 ),
cut_off = NA,
interpretation = paste0(
'Higher scores indicate greater expected ',
'benefits from risk-taking in social situations'
)
)
# Close 'Social Risk Benefit'
}
### Recreational Risk Benefit
if ( subscale %in% c( 'Recreational Risk Benefit',
'Recreational risk benefit' ) ) {
out$Description <- paste0(
'Scores for the DOSPERT (RB) - measure of expected ',
'benefit of risk-taking in recreational situations'
)
out$Units <- 'Summed score'
out$Subscale <- list(
name = 'Recreational Risk Benefit',
n_items = 6,
range = c( Min = 6, Max = 42 ),
cut_off = NA,
interpretation = paste0(
'Higher scores indicate greater expected ',
'benefits from risk-taking in recreational situations'
)
)
# Close 'Recreational Risk Benefit'
}
# Close 'Subscales'
}
# Close 'DOSPERT'
}
#### 1.16) DMQ ####
if ( abbreviation %in% c( 'DMQ' ) ) {
### Overall
out$Description <- paste0(
"Scores for the DMQ - measure of a ",
"patient's motivation to use alcohol"
)
out$Units <- 'Composite score'
out$Scale <- list(
name = 'The Drinking Motives Questionnaire-Revised',
n_items = 20,
range = c( Min = 4, Max = 20 ),
abbreviation = 'DMQ',
cut_off = NA,
reference = paste0(
'Cooper, M. L. (1994). Motivations for alcohol use among ',
'adolescents: Development and validation of a four-factor ',
'model. Psychological Assessment, 6 (2), 117-128. ',
'https://doi.org/10.1037/1040-3590.6.2.117'
),
reference_identifier = c(
DOI = "10.1037/1040-3590.6.2.117"
),
interpretation = paste0(
"Higher scores indicate greater overall motivation to drink"
),
values_and_labels = ""
)
### Subscales
if ( subscale != '' ) {
### Physical Aggression
if ( subscale %in% c( 'Social', 'SOC' ) ) {
out$Description <- paste0(
'Scores for the DMQ Social (SOC) subscale - measure of a ',
'patient’s social motives for alcohol use '
)
out$Units <- 'Mean score'
out$Subscale <- list(
name = 'Social',
n_items = 5,
range = c( Min = 1, Max = 5 ),
cut_off = NA,
interpretation = paste0(
'Higher scores indicate greater social motives for alcohol use'
)
)
# Close 'Social'
}
### Coping
if ( subscale %in% c( 'Coping', 'COP' ) ) {
out$Description <- paste0(
'Scores for the DMQ Coping (COP) subscale – measure of a ',
'patient’s coping motives for alcohol use '
)
out$Units <- 'Mean score'
out$Subscale <- list(
name = 'Coping',
n_items = 5,
range = c( Min = 1, Max = 5 ),
cut_off = NA,
interpretation = paste0(
'Higher scores indicate greater coping motives for alcohol use'
)
)
# Close 'Coping'
}
### Enhancement
if ( subscale %in% c( 'Enhancement', 'ENH' ) ) {
out$Description <- paste0(
'Scores for the DMQ Enhancement (ENH) subscale – measure of ',
'a patient’s enhancement motives for alcohol use '
)
out$Units <- 'Mean score'
out$Subscale <- list(
name = 'Enhancement',
n_items = 5,
range = c( Min = 1, Max = 5 ),
cut_off = NA,
interpretation = paste0(
'Higher scores indicate greater enhancement motives for ',
'alcohol use'
)
)
# Close 'Enhancement'
}
### Conformity
if ( subscale %in% c( 'Conformity', 'CON' ) ) {
out$Description <- paste0(
'Scores for the DMQ Conformity (CON) subscale – measure of a ',
'patient’s conformity motives for alcohol use '
)
out$Units <- 'Mean score'
out$Subscale <- list(
name = 'Conformity',
n_items = 5,
range = c( Min = 1, Max = 5 ),
cut_off = NA,
interpretation = paste0(
'Higher scores indicate greater conformity motives for alcohol use'
)
)
# Close 'Conformity'
}
# Close 'Subscales'
}
# Close 'DMQ'
}
#### 1.17) ERS ####
if ( abbreviation %in% c( 'ERS' ) ) {
### Overall
out$Description <- paste0(
"Scores for the ERS - measure of a ",
"overall emotional reactivity"
)
out$Units <- 'Summed score'
out$Scale <- list(
name = 'The Emotion Reactivity Scale',
n_items = 21,
range = c( Min = 0, Max = 84 ),
abbreviation = 'ERS',
cut_off = NA,
reference = paste0(
'Nock, M. K., Wedig, M. M., Holmberg, E. B., & Hooley, J. M.',
' (2008). The Emotion Reactivity Scale: Development, ',
'evaluation, and relation to self-injurious thoughts and ',
'behaviors. Behavior Therapy, 39 (2), 107–116. ',
'https://doi.org/10.1016/j.beth.2007.05.005'
),
reference_identifier = c(
DOI = "10.1016/j.beth.2007.05.005"
),
interpretation = paste0(
"Higher scores indicate a greater degree of emotional reactivity"
),
values_and_labels = ""
)
### Subscales
if ( subscale != '' ) {
### Sensitivity
if ( subscale %in% c( 'Sensitivity' ) ) {
out$Description <- paste0(
'Scores for the ERS Sensitivity subscale – measure of a ',
'patient’s emotional sensitivity '
)
out$Units <- 'Summed score'
out$Subscale <- list(
name = 'Sensitivity',
n_items = 10,
range = c( Min = 0, Max = 40 ),
cut_off = NA,
interpretation = paste0(
'Higher scores indicate higher emotional sensitivity.'
)
)
# Close 'Sensitivity'
}
### Intensity/Arousal
if ( subscale %in% c( 'Intensity', 'Arousal', 'Intensity/arousal' ) ) {
out$Description <- paste0(
'Scores for the ERS Intensity/arousal Subscale - measure of ',
'a patient’s emotion reaction intensity '
)
out$Units <- 'Summed score'
out$Subscale <- list(
name = 'Intensity/arousal',
n_items = 7,
range = c( Min = 0, Max = 28 ),
cut_off = NA,
interpretation = paste0(
'Higher scores indicate higher intensity of emotions'
)
)
# Close 'Intensity/arousal'
}
### Persistence
if ( subscale %in% c( 'Persistence' ) ) {
out$Description <- paste0(
'Scores for the ERS persistence subscale – measure of a ',
'patient’s persistence (duration) of emotional reactions'
)
out$Units <- 'Summed score'
out$Subscale <- list(
name = 'Persistence',
n_items = 4,
range = c( Min = 0, Max = 16 ),
cut_off = NA,
interpretation = paste0(
'Higher scores indicate longer persistence (duration) ',
'of emotional reactions'
)
)
# Close 'Persistence'
}
# Close 'Subscales'
}
# Close 'ERS'
}
#### 1.18) GLTEQ ####
if ( abbreviation == 'GLTEQ' ) {
out$Description <- paste0(
'Scores for the GLTEQ – measure of the level of physical ',
'activity of a subject'
)
out$Units <- 'Composite score'
out$Scale <- list(
name = 'Godin Leisure-Time Exercise Questionnaire',
n_items = 4,
range = c( Min = 0, Max = Inf ),
abbreviation = 'GLTEQ',
cut_off = c(
`Active` = 23,
`Moderately active` = 14,
`Insufficiently active or sendentary` = 0
),
reference = c(
paste0(
'Godin, G., Shephard, R. J. (1985). A simple method to ',
'assess exercise behavior in the community. ',
'Canadian Journal of Applied Sport Science, ',
'10 (3), 141 - 146.'
),
paste0(
'Pereira, M. A., FitzGerald, S. J., Gregg, E. W., Joswiak, ',
'M. L., Ryan, W. J., Suminski, R. R., Utter, A. C., Zmuda, ',
'J. M. (1997). A collection of physical activity questionnaires ',
'for health-related research. Medicine and Science in Sports ',
'and Exercise, 29 (6, Suppl.), S1 - S205.'
)
),
reference_identifier = c(
PMID = "4053261",
PMID = "9243481"
),
interpretation = paste0(
'Higher scores indicate more physically active lifestyle'
),
values_and_labels = list(
content = "Total leisure activity",
additional_content = paste0(
"(9 x times engaged in strenuous exercise per week) + ",
"(5 x times engaged in moderate exercise per week) + ",
"(3 x times engaged in light exercise per week)"
)
)
)
# Close 'GLTEQ'
}
#### 1.19) HADS ####
if ( abbreviation %in% c( 'HADS' ) ) {
### Overall
out$Description = NULL
out$Units = NULL
out$Scale <- list(
name = 'Hospital Anxiety Depression Scale',
n_items = 14,
range = c( Min = NA, Max = NA ),
abbreviation = 'HADS',
cut_off = NA,
reference = paste0(
'Zigmond, A. S., & Snaith, R. P. (1983). The Hospital Anxiety ',
'and Depression Scale. Acta Psychiatrica Scandinavica, ',
'67 (6), 361-370. ',
'https://doi.org/10.1111/j.1600-0447.1983.tb09716.x'
),
reference_identifier = c(
DOI = "10.1111/j.1600-0447.1983.tb09716.x"
),
interpretation = "",
values_and_labels = ""
)
### Subscales
if ( subscale != '' ) {
### Anxiety
if ( subscale %in% c( 'Anxiety', 'anxiety' ) ) {
out$Description <- paste0(
'Scores for the HADS anxiety subscale - measure ',
'of the degree of anxiety in a patient'
)
out$Units <- "Summed score"
out$Subscale <- list(
name = 'Anxiety',
n_items = 7,
range = c( 0, 21 ),
cut_off = c( Borderline = 8, Abnormal = 11 ),
interpretation = paste0(
"Higher scores indicate greater anxiety"
)
)
# Close 'Anxiety'
}
### Depression
if ( subscale == 'Depression' ) {
out$Description <- paste0(
'Scores for the HADS anxiety subscale - measure ',
'of the degree of depression experienced by a patient'
)
out$Units <- "Summed score"
out$Subscale <- list(
name = 'Depression',
n_items = 7,
range = c( 0, 21 ),
cut_off = c( Borderline = 8, Abnormal = 11 ),
interpretation = paste0(
"Higher scores indicate greater depression"
)
)
# Close 'Depression'
}
# Close 'Subscales'
}
# Close 'HADS'
}
#### 1.20) KSADS CHECK!!! ####
if ( abbreviation == 'KSADS' ) {
out$Description <- paste0(
'Scores for the KSADS - measure of ',
'family history of addiction'
)
out$Units <- 'Summed score'
out$Scale <- list(
name = 'Kiddie Schedule for Affective Disorders and Schizophrenia',
n_items = 7,
range = c( Min = 0, Max = 21 ),
abbreviation = 'KSADS',
cut_off = NA,
reference = paste0(
'Chambers, W. J., Puig-Antich, J., Hirsch, M., Paez, P., ',
'Ambrosini, P. J., Tabrizi, M. A., & Davies, M. (1985). The ',
'assessment of affective disorders in children and ',
'adolescents by semistructured interview: Test-retest ',
'reliability of the Schedule for Affective Disorders ',
'and Schizophrenia for School-Age Children, Present ',
'Episode Version. Archives of general psychiatry, ',
'42 (7), 696-702. ',
'https://doi.org/10.1001/archpsyc.1985.01790300064008'
),
reference_identifier = c(
DOI = "10.1001/archpsyc.1985.01790300064008"
),
interpretation = paste0(
'Higher scores indicate a more extensive family history ',
'of substance abuse'
),
values_and_labels = ""
)
# Close 'KSADS'
}
#### 1.21) MCQ-SF ####
if ( abbreviation == 'MCQ-SF' ) {
### Overall
out$Description <- paste0(
'Global score for the MCQ-SF - measure of ',
'overall craving for cannabis'
)
out$Units <- "Composite score"
out$Scale <- list(
name = 'Marijuana Craving Questionnaire (Short form)',
n_items = 12,
range = c( Min = 4, Max = 28 ),
abbreviation = 'MCQ-SF',
cut_off = NA,
reference = c(
paste0(
"Heishman, S. J., Singleton, E. G., & Liguori, A. (2001). ",
"Marijuana Craving Questionnaire: Development and initial ",
"validation of a self‐report instrument. Addiction, 96(7), ",
"1023-1034. https://doi.org/10.1046/j.1360-0443.2001.967102312.x"
),
paste0(
"Heishman, S. J., Evans, R. J., Singleton, E. G., Levin, K. H., ",
"Copersino, M. L., & Gorelick, D. A. (2009). Reliability and ",
"validity of a short form of the Marijuana Craving Questionnaire. ",
"Drug and alcohol dependence, 102(1-3), 35-40. ",
"https://doi.org/10.1016/j.drugalcdep.2008.12.010"
)
),
reference_identifier = c(
DOI = "10.1046/j.1360-0443.2001.967102312.x",
DOI = "10.1016/j.drugalcdep.2008.12.010"
),
interpretation = paste0(
"Higher scores indicate a greater overall craving for cannabis"
),
values_and_labels = list(
content = 1:7,
additional_content = c(
"Disagree strongly",
"Disagree moderately",
"Disagree a little",
"Neither agree nor disagree",
"Agree a little",
"Agree moderately",
"Agree strongly"
)
)
)
### Subscales
if ( subscale != '' ) {
### Compulsivity
if (subscale == 'Compulsivity') {
out$Description <- paste0(
'Scores for the MCQ compulsivity subscale - measure ',
'of the inability to control marijuana use'
)
out$Units <- "Mean score"
out$Subscale <- list(
name = 'Compulsivity',
n_items = 3,
range = c( Min = 1, Max = 7 ),
cut_off = NA,
interpretation = paste0(
"Higher scores indicate greater difficulty in ",
"controlling marijuana use"
)
)
# Close 'Compulsivity'
}
### Emotionality
if (subscale == 'Emotionality') {
out$Description <- paste0(
'Scores for the MCQ emotionality subscale - measure ',
'of the degree participants use marijuana for relief ',
'from withdrawal or negative mood'
)
out$Units <- "Mean score"
out$Subscale <- list(
name = 'Emotionality',
n_items = 3,
range = c( Min = 1, Max = 7 ),
cut_off = NA,
interpretation = paste0(
"Higher scores indicate a greater willingness to ",
"use marijuana to control withdrawal and negative mood"
)
)
# Close 'Emotionality'
}
### Expectancy
if (subscale == 'Expectancy') {
out$Description <- paste0(
'Scores for the MCQ expectancy subscale - measure ',
'of the degree of anticipation of positive outcomes ',
'from using marijuana'
)
out$Units <- "Mean score"
out$Subscale <- list(
name = 'Expectancy',
n_items = 3,
range = c( Min = 1, Max = 7 ),
cut_off = NA,
interpretation = paste0(
"Higher scores indicate higher anticipation of ",
"postive outcomes from using marijuana"
)
)
# Close 'Expectancy'
}
### Purposefulness
if (subscale == 'Purposefulness') {
out$Description <- paste0(
'Scores for the MCQ purposefulness subscale - measure ',
'of the degree of intention and planning to use ',
'marijuana for positive outcomes'
)
out$Units <- "Mean score"
out$Subscale <- list(
name = 'Purposefulness',
n_items = 3,
range = c( Min = 1, Max = 7 ),
cut_off = NA,
interpretation = paste0(
"Higher scores indicate a greater degree of planning ",
"and intent to use marijuana for postive outcomes"
)
)
# Close 'Purposefulness'
}
# Close 'Subscales'
}
# Close 'MCQ-SF'
}
#### 1.22) MEEQ CHECK!!! ####
if ( abbreviation %in% c( 'MEEQ' ) ) {
### Overall
out$Description <- paste0(
'Global score for the MEEQ - measure of ',
'positive expectations about cannabis'
)
out$Units <- "Summed score"
out$Scale <- list(
name = 'Marijuana Effect Expectancy Questionnaire',
n_items = 48,
range = c( Min = 48, Max = 240 ),
abbreviation = 'MEEQ',
cut_off = NA,
reference = c(
paste0(
"Schafer, J. B., & Sandra, A. (1991). Marijuana and cocaine ",
"effect expectancies and drug use patterns. Journal of ",
"Consulting and Clinical Psychology, 59, (4), 558 - 565. ",
"https://doi.org/10.1037//0022-006x.59.4.558"
)
),
reference_identifier = c(
DOI = "10.1037//0022-006x.59.4.558"
),
interpretation = paste0(
"Higher scores indicate greater belief in positive effects ",
"of cannabis"
),
values_and_labels = list(
content = 1:5,
additional_content = c(
"Disagree strongly",
"Disagree somewhat",
"Uncertain",
"Agree somewhat",
"Agree strongly"
)
)
)
### Subscales
if ( subscale != '' ) {
### Cognitive and Behavioral Impairment
if ( subscale %in% c( 'Cognitive and Behavioral Impairment' ) ) {
out$Description <- paste0(
'Scores for the MEEQ Cognitive and Behavioral Impairment ',
'subscale - measure of the degree of expectancy of cognitive ',
'and behavioral impairment resulting from marijuana use'
)
out$Units <- 'Summed score'
out$Subscale <- list(
name = 'Cognitive and Behavioral Impairment',
n_items = 10,
range = c( Min = 10, Max = 50 ),
cut_off = NA,
interpretation = paste0(
'Higher scores indicate greater expectancy of cognitive ',
'and behavioral impairment due to marijuana use '
)
)
# Close 'Cognitive and Behavioral Impairment'
}
### Relaxation and Tension Reduction
if ( subscale %in% c( 'Relaxation and Tension Reduction' ) ) {
out$Description <- paste0(
'Scores for the MEEQ Relaxation and Tension Reduction ',
'subscale - measure of the degree of expectancy of ',
'relaxation and tension reduction resulting from marijuana use'
)
out$Units <- 'Summed score'
out$Subscale <- list(
name = 'Relaxation and Tension Reduction',
n_items = 8,
range = c( Min = 8, Max = 40 ),
cut_off = NA,
interpretation = paste0(
'Higher scores indicate greater expectancy of relaxation ',
'and tension reduction due to marijuana use'
)
)
# Close 'Relaxation and Tension Reduction'
}
### Social and Sexual Facilitation
if ( subscale %in% c( 'Social and Sexual Facilitation' ) ) {
out$Description <- paste0(
'Scores for the MEEQ Social and Sexual Facilitation ',
'subscale - measure of the degree of expectancy of ',
'social and sexual facilitation resulting from marijuana use'
)
out$Units <- 'Summed score'
out$Subscale <- list(
name = 'Social and Sexual Facilitation',
n_items = 9,
range = c( Min = 9, Max = 45 ),
cut_off = NA,
interpretation = paste0(
'Higher scores indicate greater expectancy of social and ',
'sexual facilitation due to marijuana use'
)
)
# Close 'Social and Sexual Facilitation'
}
### Perceptual and Cognitive Enhancement
if ( subscale %in% c( 'Perceptual and Cognitive Enhancement' ) ) {
out$Description <- paste0(
'Scores for the MEEQ Perceptual and Cognitive Enhancement ',
'subscale - measure of the degree of expectancy of perceptual ',
'and cognitive enhancement resulting from marijuana use'
)
out$Units <- 'Summed score'
out$Subscale <- list(
name = 'Perceptual and Cognitive Enhancement',
n_items = 8,
range = c( Min = 8, Max = 40 ),
cut_off = NA,
interpretation = paste0(
'Higher scores indicate greater expectancy of ',
'perceptual and cognitive enhancement due to marijuana use'
)
)
# Close 'Perceptual and Cognitive Enhancement'
}
### Global Negative Effects
if ( subscale %in% c( 'Global Negative Effects' ) ) {
out$Description <- paste0(
'Scores for the MEEQ Global Negative Effects subscale - measure ',
'of the degree of expectancy of negative effects resulting ',
'from marijuana use '
)
out$Units <- 'Summed score'
out$Subscale <- list(
name = 'Global Negative Effects',
n_items = 9,
range = c( Min = 9, Max = 45 ),
cut_off = NA,
interpretation = paste0(
'Higher scores indicate greater expectancy of negative ',
'effects due to marijuana use '
)
)
# Close 'Global Negative Effects'
}
### Craving and Physical Effects
if ( subscale %in% c( 'Craving and Physical Effects' ) ) {
out$Description <- paste0(
'Scores for the MEEQ Craving and Physical Effects ',
'subscale - measure of the degree of expectancy of ',
'craving and physical effects resulting from marijuana use'
)
out$Units <- 'Summed score'
out$Subscale <- list(
name = 'Craving and Physical Effects',
n_items = 6,
range = c( Min = 6, Max = 30 ),
cut_off = NA,
interpretation = paste0(
'Higher scores indicate greater expectancy of craving and ',
'physical effects due to marijuana use'
)
)
# Close 'Craving and Physical Effects'
}
# Close 'Subscales'
}
# Close 'MEEQ'
}
#### 1.23) MMM ####
if ( abbreviation == 'MMM' ) {
### Overall
out$Description <- NULL
out$Units <- NULL
out$Scale <- list(
name = 'Marijuana Motives Measure',
n_items = 25,
range = c( Min = NA, Max = NA ),
abbreviation = 'MMM',
cut_off = NA,
reference = c(
paste0(
"Simons, J., Correia, C. J., Carey, K. B., & Borsari, ",
"B. E. (1998). Validating a five-factor marijuana motives ",
"measure: Relations with use, problems, and alcohol motives. ",
"Journal of Counseling Psychology, 45 (3), 265–273. ",
"https://doi.org/10.1037/0022-0167.45.3.265"
)
),
reference_identifier = c(
DOI = "10.1037/0022-0167.45.3.265"
),
interpretation = "",
values_and_labels = list(
content = 1:5,
additional_content = c(
"Almost never/never",
"Some of the time",
"Half of the time",
"Most of the time",
"Almost always/always"
)
)
)
### Subscales
if ( subscale != '' ) {
### Coping
if ( subscale %in% c(
'Coping'
) ) {
out$Description <- paste0(
"Scores for the MMM coping ",
"subscale - measure of degree ",
"to which someone uses cannabis ",
"to help cope with negative feelings ",
"and situations"
)
out$Units <- "Mean score"
out$Subscale <- list(
name = 'Coping',
n_items = 5,
range = c( Min = 1, Max = 5 ),
cut_off = NA,
interpretation = paste0(
"Higher scores indicate a greater willingness ",
"to use cannabis to cope with negative ",
"feelings and situations"
)
)
# Close 'Coping'
}
### Conformity
if ( subscale %in% c(
'Conformity'
) ) {
out$Description <- paste0(
"Scores for the MMM conformity ",
"subscale - measure of degree ",
"to which someone uses cannabis ",
"to conform with expectations of peers"
)
out$Units <- "Mean score"
out$Subscale <- list(
name = 'Conformity',
n_items = 5,
range = c( Min = 1, Max = 5 ),
cut_off = NA,
interpretation = paste0(
"Higher scores indicate a greater willingness ",
"to use cannabis in order to conform to the ",
"expectations of others"
)
)
# Close 'Conformity'
}
### Social
if ( subscale %in% c(
'Social'
) ) {
out$Description <- paste0(
"Scores for the MMM social ",
"subscale - measure of degree ",
"to which someone uses cannabis ",
"to better enjoy social situations"
)
out$Units <- "Mean score"
out$Subscale <- list(
name = 'Social',
n_items = 5,
range = c( Min = 1, Max = 5 ),
cut_off = NA,
interpretation = paste0(
"Higher scores indicate a greater willingness ",
"to use cannabis to better enjoy social situations"
)
)
# Close 'Social'
}
### Enhancement
if ( subscale %in% c(
'Enhancement'
) ) {
out$Description <- paste0(
"Scores for the MMM enhancement ",
"subscale - measure of degree ",
"to which someone uses cannabis ",
"for pleasurable feelings"
)
out$Units <- "Mean score"
out$Subscale <- list(
name = 'Enhancement',
n_items = 5,
range = c( Min = 1, Max = 5 ),
cut_off = NA,
interpretation = paste0(
"Higher scores indicate a greater willingness ",
"to use cannabis for pleasurable feelings"
)
)
# Close 'Enhancement'
}
### Expansion
if ( subscale %in% c(
'Expansion'
) ) {
out$Description <- paste0(
"Scores for the MMM expansion ",
"subscale - measure of degree ",
"to which someone uses cannabis ",
"to be more open to new experiences"
)
out$Units <- "Mean score"
out$Subscale <- list(
name = 'Expansion',
n_items = 5,
range = c( Min = 1, Max = 5 ),
cut_off = NA,
interpretation = paste0(
"Higher scores indicate a greater willingness ",
'to use cannabis for new experiences'
)
)
# Close 'Expansion'
}
# Close 'Subscales'
}
# Close 'MMM'
}
#### 1.24) MPS ####
if ( abbreviation == 'MPS' ) {
out$Description <- paste0(
'Scores for the MPS – measure of potential negative effects of ',
'marijuana on subject’s wellbeing'
)
out$Units <- 'Summed score'
out$Scale <- list(
name = 'Marijuana Problem Scale',
n_items = 19,
range = c( Min = 0, Max = 19 ),
abbreviation = 'MPS',
cut_off = NA,
reference = c(
paste0(
"Stephens, R. S., Roffman, R. A., & Curtin, L. (2000). ",
"Comparison of extended versus brief treatments for ",
"marijuana use. Journal of Consulting and Clinical ",
"Psychology, 68 (5), 898–908. ",
"https://doi.org/10.1037/0022-006X.68.5.898"
),
paste0(
"Stephens, R. S., Roffman, R. A., & Simpson, E. E. ",
"(1994). Treating adult marijuana dependence: A test ",
"of the relapse prevention model. Journal of Consulting ",
"and Clinical Psychology, 62 (1), 92–99. ",
"https://doi.org/10.1037/0022-006X.62.1.92"
)
),
reference_identifier = c(
DOI = "10.1037/0022-006X.68.5.898",
DOI = "10.1037/0022-006X.62.1.92"
),
interpretation = paste0(
'Higher scores indicate more serious problems associated with ',
'marijuana use'
),
values_and_labels = ""
)
# Close 'MPS'
}
#### 1.25) MCQ ####
if ( abbreviation == 'MCQ' ) {
out$Description <- paste0(
'Scores for the MCQ – measure of whether the participant prefers ',
'smaller immediate rewards over delayed larger rewards'
)
out$Units <- 'Rate of Discounting (k)'
out$Scale <- list(
name = 'Monetary Choice Questionnaire',
n_items = 27,
range = c( Min = 0.0, Max = 0.5 ),
abbreviation = 'MCQ',
cut_off = NA,
reference = c(
paste0(
"Kirby, K. N., Petry, N. M., & Bickel, W. K. (1999). Heroin ",
"addicts have higher discount rates for delayed rewards ",
"than non-drug-using controls. Journal of Experimental ",
"Psychology: General, 128 (1), 78-87. ",
"https://doi.org/10.1037//0096-3445.128.1.78"
)
),
reference_identifier = c(
DOI = "10.1037//0096-3445.128.1.78"
),
interpretation = paste0(
'Higher k values (higher discounting rates) indicate higher ',
'level of impulsivity (preference for immediate rewards)'
),
values_and_labels = ""
)
# Close 'MCQ'
}
#### 1.26) MASQ ####
if ( abbreviation == 'MASQ' ) {
### Overall
out$Description <- NULL
out$Units <- NULL
out$Scale <- list(
name = 'Mood and Anxiety Symptom Questionnaires',
n_items = 62,
range = c( Min = NA, Max = NA ),
abbreviation = 'MASQ',
cut_off = NA,
reference = c(
paste0(
"Watson, D., Weber, K., Assenheimer, J. S., ",
"Clark, L. A., Strauss, M. E., & McCormick, R. A. ",
"(1995). Testing a tripartite model: I. Evaluating ",
"the convergent and discriminant validity of anxiety ",
"and depression symptom scales. ",
"Journal of Abnormal Psychology, 104 (1), 4-14. ",
"https://doi.org/10.1037/0021-843X.104.1.3"
),
paste0(
"Watson, D., & Clark, L. A. (1991). The mood and anxiety ",
"symptom questionnaire. Unpublished manuscript. ",
"https://doi.org/10.1037/t13679-000"
)
),
reference_identifier = c(
DOI = "10.1037/0021-843X.104.1.3",
DOI = "10.1037/t13679-000"
),
interpretation = "",
values_and_labels = list(
content = 1:5,
additional_content = c(
"Not at all/slightly",
"A little",
"Moderately",
"Quite a bit",
"Extremely"
)
)
)
### Subscales
if ( subscale != '' ) {
### General distress anxious symptoms
if ( subscale %in% c(
'GDA',
'General distress anxious symptoms',
'General Distress Anxious Symptoms'
) ) {
out$Description <- paste0(
"Scores for the MASQ anxious general distress ",
"anxious symptoms subscale - measure of anxious ",
"mood"
)
out$Units <- "Summed score"
out$Subscale <- list(
name = 'General distress anxious symptoms',
n_items = 11,
range = c( Min = 11, Max = 55 ),
cut_off = NA,
interpretation = paste0(
"Higher scores indicate a greater degree ",
"of general distress and anxiety"
)
)
# Close 'Mood and Anxiety Symptom Questionnaires'
}
### Anxious arousal
if ( subscale %in% c(
'AA',
'Anxious arousal',
'Anxious Arousal'
) ) {
out$Description <- paste0(
"Scores for the MASQ anxious arousal subscale - ",
"measure of symptoms of somatic tension and hyperarousal ",
"specific to anxiety"
)
out$Units <- "Summed score"
out$Subscale <- list(
name = 'Anxious arousal',
n_items = 17,
range = c( Min = 17, Max = 85 ),
cut_off = NA,
interpretation = paste0(
""
)
)
# Close 'Anxious arousal'
}
### General distress depressive symptoms
if ( subscale %in% c(
'GDD',
'General distress depressive symptoms',
'General Distress Depressive Symptoms'
) ) {
out$Description <- paste0(
"Scores for the MASQ anxious general distress ",
"depressive symptoms subscale - measure of depressed ",
"mood"
)
out$Units <- "Summed score"
out$Subscale <- list(
name = 'General distress depressive symptoms',
n_items = 12,
range = c( Min = 12, Max = 60 ),
cut_off = NA,
interpretation = paste0(
"Higher scores indicate a greater degree ",
"of general distress and depression"
)
)
# Close 'General distress depressive symptoms'
}
### Anhedonic depression
if ( subscale %in% c(
'AD',
'Anhedonic depression',
'Anhedonic Depression'
) ) {
out$Description <- paste0(
"Scores for the MASQ anhedonic depression ",
"subscale - measure of anhedonia and low ",
"positive affect"
)
out$Units <- "Summed score"
out$Subscale <- list(
name = 'Anhedonic depression',
n_items = 22,
range = c( Min = 22, Max = 110 ),
cut_off = NA,
interpretation = paste0(
"Higher scores indicate greater degree of anhedonia ",
"and depression"
)
)
# Close 'Anhedonic depression'
}
# Close 'Subscales'
}
# Close 'MASQ'
}
#### 1.27) MISS ####
if ( abbreviation %in% c( 'MISS' ) ) {
### Overall
out$Description <- paste0(
'Scores for the MISS – measure of suggestibility from ',
'influence of media or people or immediate events'
)
out$Units <- "Summed score"
out$Scale <- list(
name = 'Multidimensional Iowa Suggestibility Scale',
n_items = 64,
range = c( Min = 64, Max = 320 ),
abbreviation = 'MISS',
cut_off = NA,
reference = c(
paste0(
"Kotov, R. I., Bellman, S. B., & Watson, D. B. (2004). ",
"MISS: Multidimensional Iowa Suggestibility Scale Brief ",
"Manual. Stony Brook University. https://",
"medicine.stonybrookmedicine.edu/",
"system/files/MISSBriefManual.pdf"
)
),
reference_identifier = c(
URL = paste0(
"https://",
"medicine.stonybrookmedicine.edu/",
"system/files/MISSBriefManual.pdf"
)
),
interpretation = paste0(
"Higher scores indicate a greater degree of overall ",
"suggestibility from influence of ",
"media or people or immediate events"
),
values_and_labels = list(
content = 1:5,
additional_content = c(
"Not at all or very slightly",
"A litte",
"Somewhat",
"Quite a bit",
"A lot"
)
)
)
### Subscales
if ( subscale != '' ) {
### Consumer Suggestibility
if ( subscale %in% c( 'Consumer Suggestibility' ) ) {
out$Description <- paste0(
'Scores for the MISS Consumer Suggestibility subscale – measure ',
'of the level of consumer suggestibility of the subject'
)
out$Units <- 'Summed score'
out$Subscale <- list(
name = 'Consumer Suggestibility',
n_items = 11,
range = c( Min = 11, Max = 55 ),
cut_off = NA,
interpretation = paste0(
'Higher scores indicate higher consumer suggestibility'
)
)
# Close 'Consumer Suggestibility'
}
### Persuadability
if ( subscale %in% c( 'Persuadability' ) ) {
out$Description <- paste0(
'Scores for the MISS Persuadability subscale – measure of the ',
'persuadability of the subject '
)
out$Units <- 'Summed score'
out$Subscale <- list(
name = 'Persuadability',
n_items = 14,
range = c( Min = 14, Max = 70 ),
cut_off = NA,
interpretation = paste0(
'Higher scores indicate higher persuadability'
)
)
# Close 'Persuadability'
}
### Physiological Suggestibility
if ( subscale %in% c( 'Physiological Suggestibility' ) ) {
out$Description <- paste0(
'Scores for the MISS Consumer Physiological Suggestibility ',
'subscale – measure of the physiological suggestibility of ',
'the subject'
)
out$Units <- 'Summed score'
out$Subscale <- list(
name = 'Physiological Suggestibility',
n_items = 12,
range = c( Min = 12, Max = 60 ),
cut_off = NA,
interpretation = paste0(
'higher scores indicate higher physiological suggestibility'
)
)
# Close 'Physiological Suggestibility'
}
### Physiological Reactivity
if ( subscale %in% c( 'Physiological Reactivity' ) ) {
out$Description <- paste0(
'Scores for the MISS Physiological Reactivity subscale – measure ',
'of the physiological reactivity of subject'
)
out$Units <- 'Summed score'
out$Subscale <- list(
name = 'Physiological Reactivity',
n_items = 13,
range = c( Min = 13, Max = 65 ),
cut_off = NA,
interpretation = paste0(
'Higher scores indicate greater physiological reactivity'
)
)
# Close 'Physiological Reactivity'
}
### Peer Conformity
if ( subscale %in% c( 'Peer Conformity' ) ) {
out$Description <- paste0(
'Scores for the MISS Peer Conformity subscale – measure of the ',
'peer conformity of subject'
)
out$Units <- 'Summed score'
out$Subscale <- list(
name = 'Peer Conformity',
n_items = 14,
range = c( Min = 14, Max = 70 ),
cut_off = NA,
interpretation = paste0(
'Higher scores indicate greater peer conformity'
)
)
# Close 'Peer Conformity'
}
### Short Suggestibility Scale
if ( subscale %in% c( 'Short Suggestibility Scale' ) ) {
out$Description <- paste0(
'Scores for the MISS Short Suggestibility Scale ',
'subscale – measure of the subject’s general suggestibility trait'
)
out$Units <- 'Summed score'
out$Subscale <- list(
name = 'Short Suggestibility Scale',
n_items = 21,
range = c( Min = 21, Max = 105 ),
cut_off = NA,
interpretation = paste0(
'Higher scores indicate greater suggestibility'
)
)
# Close 'Short Suggestibility Scale'
}
### Mental Control
if ( subscale %in% c( 'Mental Control' ) ) {
out$Description <- paste0(
'Scores for the MISS Mental Control subscale – measure of ',
'the subject’s ability for mental control'
)
out$Units <- 'Summed score'
out$Subscale <- list(
name = 'Mental Control',
n_items = 15,
range = c( Min = 15, Max = 75 ),
cut_off = NA,
interpretation = paste0(
'Higher scores indicate greater mental control ability'
)
)
# Close 'Mental Control'
}
### Unpersuadability
if ( subscale %in% c( 'Unpersuadability' ) ) {
out$Description <- paste0(
'Scores for the MISS Unpersuadability subscale – measure ',
'of the subject’s resistance to persuasion'
)
out$Units <- 'Summed score'
out$Subscale <- list(
name = 'Unpersuadability',
n_items = 16,
range = c( Min = 16, Max = 80 ),
cut_off = NA,
interpretation = paste0(
'Higher scores indicate greater resistance to persuasion'
)
)
# Close 'Unpersuadability'
}
# Close 'Subscales'
}
# Close 'MISS'
}
#### 1.28) PCS ####
### Summed score
if ( abbreviation == 'PCS' ) {
out$Description <- paste0(
"Scores for the PCS - measure of the degree to which ",
"a subject engages in pain catastrophizing"
)
out$Units <- "Summed score"
out$Scale <- list(
name = 'Pain Catastrophizing Scale',
n_items = 13,
range = c( Min = 0, Max = 52 ),
abbreviation = 'PCS',
cut_off = NA,
reference = paste0(
'Sullivan, M. J. L., Bishop, S. R., & Pivik, J. (1995). ',
'The Pain Catastrophizing Scale: Development and ',
'validation. Psychological Assessment, 7(4), 524–532. ',
'https://doi.org/10.1037/1040-3590.7.4.524'
),
reference_identifier = c(
DOI = "10.1037/1040-3590.7.4.524"
),
interpretation = paste0(
"Higher scores indicate that a subject engages in ",
"a greater degree of catastrophizing about pain"
),
values_and_labels = ""
)
# Close 'PCS'
}
### Percentages
if ( abbreviation %in% 'PCS (%)' ) {
out$Description <- paste0(
"Percentages for the PCS - measure of the degree to ",
"which a subject engages in pain catastrophizing"
)
out$Units <- "Percentage"
out$Scale <- list(
name = 'Pain Catastrophizing Scale',
n_items = 13,
range = c( Min = 0, Max = 100 ),
abbreviation = 'PCS (%)',
cut_off = NA,
reference = paste0(
'Sullivan, M. J. L., Bishop, S. R., & Pivik, J. (1995). ',
'The Pain Catastrophizing Scale: Development and ',
'validation. Psychological Assessment, 7(4), 524–532. ',
'https://doi.org/10.1037/1040-3590.7.4.524'
),
reference_identifier = c(
DOI = "10.1037/1040-3590.7.4.524"
),
interpretation = paste0(
"Higher scores indicate that a subject engages in ",
"a greater degree of catastrophizing about pain"
),
values_and_labels = ""
)
# Close 'PCS (%)'
}
#### 1.29) PSS ####
if ( abbreviation == 'PSS' ) {
out$Description <- paste0(
"Percentages for the PSS - measure of the degree to ",
"which subjects view situations in their life ",
"as stressful"
)
out$Units <- "Summed score"
out$Scale <- list(
name = 'Perceived Stress Scale',
n_items = 10,
range = c( Min = 0, Max = 40 ),
abbreviation = 'PSS',
cut_off = c( Moderate = 14, High = 27),
reference = c(
paste0(
'Cohen, S., Kamarch, T., & Mermelstein, R. (1983). ',
'A global measure of perceived stress. Journal of ',
'Health and Social Behavior, 24, 385-396. ',
'https://doi.org/10.2307/2136404'
),
paste0(
'Cohen, S., & Williamson, G. (1988). Perceived ',
'stress in a probability sample of the United States. ',
'In S. Spacapan, & S. Oskamp (Eds.), The social ',
'psychology of health: Claremont symposium on ',
'applied social psychology. Sage Publications, Inc.'
)
),
reference_identifier = c(
DOI = "10.2307/2136404",
"ISBN: 080393162X or 9780803931626"
),
interpretation = paste0(
"Higher scores indicate a greater degree of perceived stress"
),
values_and_labels = ""
)
# Close 'PSS'
}
#### 1.30) PDI ####
if ( abbreviation %in% c( 'PDI' ) ) {
### Overall
out$Description <- paste0(
"Scores for the PDI - measure of the degree to ",
"which subjects are proine to delusional ideation"
)
out$Units <- "Summed score"
out$Scale <- list(
name = 'Peters et al. Delusions Inventory',
n_items = 63,
range = c( Min = 0, Max = 336 ),
abbreviation = 'PDI',
cut_off = NA,
reference = c(
paste0(
'Peters, E. R., Joseph, S. A., & Garety, P. A. ',
'(1999). Measurement of delusional ideation in the ',
'normal population: introducing the PDI ',
'(Peters et al. Delusions Inventory). Schizophrenia ',
'Bulletin, 25(3), 553-576. ',
'https://doi.org/10.1093/oxfordjournals.schbul.a033401'
),
paste0(
'Peters, E., Joseph, S., Day, S., Garety, P. (2004). ',
'Measuring delusional ideation: The 21-Item Peters et al. ',
'Delusions Inventory (PDI). Schizophrenia Bulletin, 30 ',
'(4), 1005-1022. ',
'https://doi.org/10.1093/oxfordjournals.schbul.a007116'
)
),
reference_identifier = c(
DOI = "10.1093/oxfordjournals.schbul.a033401",
DOI = "10.1093/oxfordjournals.schbul.a007116"
),
interpretation = paste0(
"Higher scores indicate greater proneness to delusional ",
"ideation"
),
values_and_labels = ""
)
### Subscales
if ( subscale != '' ) {
### Distress
if ( subscale %in% c( 'Distress' ) ) {
out$Description <- paste0(
'Scores for the PDI distress subscale - measure of',
'how upsetting are the delusional ideations'
)
out$Units <- "Summed score"
out$Subscale <- list(
name = 'Distress',
n_items = 21,
range = c( Min = 0, Max = 105 ),
cut_off = c( NA ),
interpretation = paste0(
"Higher scores indicate greater distress"
)
)
# Close 'Distress'
}
### Preoccupation
if ( subscale %in% c( 'Preoccupation' ) ) {
out$Description <- paste0(
'Scores for the PDI preoccupation subscale - measure of',
'how preoccupied an individual is with the delusional ',
'ideations'
)
out$Units <- "Summed score"
out$Subscale <- list(
name = 'Preoccupation',
n_items = 21,
range = c( Min = 0, Max = 105 ),
cut_off = c( NA ),
interpretation = paste0(
"Higher scores indicate greater preoccu"
)
)
# Close 'Preoccupation'
}
### Conviction
if ( subscale %in% c( 'Conviction' ) ) {
out$Description <- paste0(
'Scores for the PDI conviction subscale - measure of',
'how much an individual believes in the delusional ',
'ideations'
)
out$Units <- "Summed score"
out$Subscale <- list(
name = 'Conviction',
n_items = 21,
range = c( Min = 0, Max = 105 ),
cut_off = c( NA ),
interpretation = paste0(
"Higher scores indicate greater belief in delusions"
)
)
# Close 'Conviction'
}
### PDI yes/no
if ( subscale %in% c( 'PDI yes/no' ) ) {
out$Description <- paste0(
'Scores for the PDI yes/no subscale - measure of',
'number of delusional ideations a person experiences'
)
out$Units <- "Summed score"
out$Subscale <- list(
name = 'PDI yes/no',
n_items = 21,
range = c( Min = 0, Max = 21 ),
cut_off = c( NA ),
interpretation = paste0(
"Higher scores indicate a greater degree of delusional ",
"ideation"
)
)
# Close 'PDI yes/no'
}
### PDI total
if ( subscale %in% c( 'PDI total' ) ) {
out$Description <- paste0(
'Scores for the PDI - measure of',
'general delusional ideation summing over all subscales'
)
out$Units <- "Summed score"
out$Subscale <- list(
name = 'PDI total',
n_items = 63,
range = c( Min = 0, Max = 336 ),
cut_off = c( NA ),
interpretation = paste0(
"Higher scores indicate a greater degree of delusional ",
"ideation"
)
)
# Close 'PDI yes/no'
}
# Close 'Subscales'
}
# Close 'PDI'
}
#### 1.31) PSQI ####
if ( abbreviation %in% c( 'PSQI' ) ) {
### Overall
out$Description <- paste0(
'Global score for the PSQI – measure of the ',
'subjective sleep quality of a person'
)
out$Units <- "Summed score"
out$Scale <- list(
name = 'Pittsburgh Sleep Quality Index',
n_items = 19,
range = c( Min = 0, Max = 21 ),
abbreviation = 'PSQI',
cut_off = NA,
reference =
paste0(
'Buysse,D.J., Reynolds,C.F., Monk,T.H., ',
'Berman,S.R., & Kupfer,D.J. (1989). The Pittsburgh Sleep',
' Quality Index (PSQI): A new instrument for psychiatric',
' research and practice. Psychiatry Research, 28 (2), 193-213. ',
'https://doi.org/10.1016/0165-1781(89)90047-4'
),
reference_identifier = c(
DOI = "10.1016/0165-1781(89)90047-4"
),
interpretation = paste0(
"Higher scores indicate worse sleep quality"
)
)
### Subscales
if ( subscale != '' ) {
### Component 1
if ( subscale %in% c( 'Component 1' ) ) {
out$Description <- paste0(
'Scores for the PSQI component 1 subscale – measure of the ',
'subjective sleep quality of subject'
)
out$Units <- "Ordinal ranking"
out$Subscale <- list(
name = 'Component 1',
n_items = 1,
range = c( Min = 0, Max = 3 ),
cut_off = NA,
interpretation = paste0(
'A score of 0 indicates subjectively very high sleep ',
'quality - a score of 3 indicates subjectively very ',
'poor sleep quality'
)
)
# Close 'Component 1'
}
### Component 2
if ( subscale %in% c( 'Component 2' ) ) {
out$Description <- paste0(
'Scores for the PSQI component 2 subscale – measure of the ',
'sleep latency of subject '
)
out$Units <- "Ordinal ranking"
out$Subscale <- list(
name = 'Component 2',
n_items = 2,
range = c( Min = 0, Max = 3 ),
cut_off = NA,
interpretation = paste0(
'A score of 0 indicates very low sleep latency - a score ',
'of 3 indicates very high sleep latency'
)
)
# Close 'Component 2'
}
### Component 3
if ( subscale %in% c( 'Component 3' ) ) {
out$Description <- paste0(
'Scores for the PSQI component 3 subscale – measure of the ',
'sleep duration of subject'
)
out$Units <- "Ordinal ranking"
out$Subscale <- list(
name = 'Component 3',
n_items = 1,
range = c( Min = 0, Max = 3 ),
cut_off = NA,
interpretation = paste0(
'A score of 0 indicates sufficient sleep duration (>7 ',
'hours) - a score of 3 indicates insufficient sleep ',
'duration (<5 hours)'
)
)
# Close 'Component 3'
}
### Component 4
if ( subscale %in% c( 'Component 4' ) ) {
out$Description <- paste0(
'Scores for the PSQI component 4 subscale – measure of the ',
'habitual sleep efficiency of subject'
)
out$Units <- "Ordinal ranking"
out$Subscale <- list(
name = 'Component 4',
n_items = 3,
range = c( Min = 0, Max = 3 ),
cut_off = NA,
interpretation = paste0(
'A score of 0 indicates high habitual sleep efficiency ',
'(most time in bed is spent sleeping) - a score of 3 ',
'indicates low habitual sleep efficiency (less than ',
'65% of time in bed is spent sleeping)'
)
)
# Close 'Component 4'
}
### Component 5
if ( subscale %in% c( 'Component 5' ) ) {
out$Description <- paste0(
'Scores for the PSQI component 5 subscale – measure of the ',
'sleep disturbances experienced by subject'
)
out$Units <- "Ordinal ranking"
out$Subscale <- list(
name = 'Component 5',
n_items = 9,
range = c( Min = 0, Max = 3 ),
cut_off = NA,
interpretation = paste0(
'A score of 0 indicates no sleep disturbances - a score ',
'of 3 indicates very significant sleep disturbances'
)
)
# Close 'Component 5'
}
### Component 6
if ( subscale %in% c( 'Component 6' ) ) {
out$Description <- paste0(
'Scores for the PSQI component 6 subscale – measure of the ',
'subject’s use of sleeping medication'
)
out$Units <- "Ordinal ranking"
out$Subscale <- list(
name = 'Component 6',
n_items = 1,
range = c( Min = 0, Max = 3 ),
cut_off = NA,
interpretation = paste0(
'A score of 0 indicates no use of any sleep medications in ',
'the past month - a score of 3 indicates use of sleep ',
'medication 3 or more times per week'
)
)
# Close 'Component 6'
}
### Component 7
if ( subscale %in% c( 'Component 7' ) ) {
out$Description <- paste0(
'Scores for the PSQI component 7 subscale – measure of the ',
'daytime dysfunction experienced by subject'
)
out$Units <- "Ordinal ranking"
out$Subscale <- list(
name = 'Component 7',
n_items = 2,
range = c( Min = 0, Max = 3 ),
cut_off = NA,
interpretation = paste0(
'A score of 0 indicates no daytime dysfunction - a ',
'score of 3 indicates severe daytime dysfunction'
)
)
# Close 'Component 7'
}
# Close 'Subscales'
}
# Close 'PSQI'
}
#### 1.32) PQB ####
if ( abbreviation %in% c( 'PQB' ) ) {
### Overall
out$Description <- paste0(
'Total scores for the PBQ - measure of a ',
'patient’s reported prodromal symptoms'
)
out$Units <- "Summed scores"
out$Scale <- list(
name = 'Prodromal Questionnaire-Brief',
n_items = 21,
range = c( Min = 0, Max = 21 ),
abbreviation = 'PQB',
cut_off = NA,
reference = paste0(
'Loewy, R. L., Pearson, R., Vinogradov, S., Bearden, C. E., ',
'& Cannon, T. D. (2011). Psychosis risk screening with the ',
'Prodromal Questionnaire—brief version (PQ-B). Schizophrenia',
' research, 129(1), 42–46.',
' https://doi.org/10.1016/j.schres.2011.03.029'
),
reference_identifier = c(
DOI = "10.1016/j.schres.2011.03.029"
),
interpretation =
'Higher scores indicate experiencing more prodromal symptoms',
values_and_labels = ""
)
### Subscales
if ( subscale != '' ) {
### Distress
if ( subscale %in% c( 'Distress' ) ) {
out$Description <- paste0(
'Scores for the PQ-B Distress subscale – measure of the ',
'level of distress or impairment associated with the ',
'endorsed positive symptoms'
)
out$Units <- 'Summed score'
out$Subscale <- list(
name = 'Distress',
n_items = 21,
range = c( Min = 21, Max = 105 ),
cut_off = NA,
interpretation = paste0(
'Higher scores indicate higher distress caused by endorsed ',
'positive symptoms'
)
)
# Close 'Distress'
}
# Close 'Subscales'
}
# Close 'PQB'
}
#### 1.33) PERS ####
if ( abbreviation == 'PERS' ) {
out$Description <- paste0(
'Scores for the PERS - measure of ',
'clinician expectations for patient recovery'
)
out$Units <- 'Summed score'
out$Scale <- list(
name = 'Provider Expectations for Recovery Scale',
n_items = 12,
range = c( Min = 12, Max = 60 ),
abbreviation = 'PERS',
cut_off = NA,
reference = paste0(
'Salyers, M. P., Brennan, M., & Kean, J. (2013). Provider ',
'Expectations for Recovery Scale: Refining a measure of ',
'provider attitudes. Psychiatric Rehabilitation Journal, 36(3), 153. ',
'https://doi.org/10.1037/prj0000010'
),
reference_identifier = c(
DOI = "10.1037/prj0000010"
),
interpretation = paste0(
'Higher scores indicate greater clinican optimism about ',
'patient recovery'
),
values_and_labels = ""
)
# Close 'PERS'
}
#### 1.34) SCARED ####
if ( abbreviation %in% c( 'SCARED' ) ) {
### Overall
out$Description <- paste0(
'Total score for the SCARED - measure of ',
'overall degree of anxiety'
)
out$Units <- "Summed score"
out$Scale <- list(
name = 'Screen for Child Anxiety Related Emotional Disorders',
n_items = 66,
range = c( Min = 0, Max = 132 ),
abbreviation = 'SCARED',
cut_off = NA,
reference = c(
paste0(
"Behren,. B., Swetlitz, C., Pine, D. S., & Pagliaccio, D. ",
"(2019). The Screen for Child Anxiety Related Emotional ",
"Disorders (SCARED): Informant discrepancy, measurement ",
"invariance, and test-retest reliability. Child ",
"Psychiatry Human Development, 50 (3), 473-482. ",
"https://doi.org/10.1007/s10578-018-0854-0"
),
paste0(
'Muris, P., & Steerneman, P. (2001). The revised ',
'version of the Screen for Child Anxiety Related Emotional ',
'Disorders (SCARED-R): First evidence for its reliability ',
'and validity in a clinical sample. The British journal ',
'of Clinical Psychology, 40 (1), 35–44. ',
'https://doi.org/10.1348/014466501163463'
)
),
reference_identifier = c(
DOI = "10.1348/014466501163463"
),
interpretation = paste0(
"Higher scores indicate a greater degree of overall anxiety"
),
values_and_labels = list(
content = 0:2,
additional_content = c(
"Almost never",
'Sometimes',
"Often"
)
)
)
### Subscales
if ( subscale != '' ) {
### Panic Disorder
if ( subscale %in% c( 'Panic Disorder' ) ) {
out$Description <- paste0(
'Scores for the SCARED Panic Disorder subscale– measure of ',
'the presence of panic disorder symptoms in subject'
)
out$Units <- 'Summed score'
out$Subscale <- list(
name = 'Panic Disorder',
n_items = 13,
range = c( Min = 0, Max = 26 ),
cut_off = NA,
interpretation = paste0(
'Higher scores indicate more severe symptoms of panic disorder'
)
)
# Close 'Panic Disorder'
}
### Separation Anxiety Disorder
if ( subscale %in% c( 'Separation Anxiety Disorder' ) ) {
out$Description <- paste0(
'Scores for the Separation Anxiety Disorder (including ',
'school phobia) subscale– measure of the presence of ',
'separation anxiety disorder symptoms in subject'
)
out$Units <- 'Summed score'
out$Subscale <- list(
name = 'Separation Anxiety Disorder',
n_items = 12,
range = c( Min = 0, Max = 24),
cut_off = NA,
interpretation = paste0(
'Higher scores indicate more severe symptoms of ',
'separation anxiety disorder'
)
)
# Close 'Separation Anxiety Disorder'
}
### Generalized Anxiety Disorder
if ( subscale %in% c( 'Generalized Anxiety Disorder' ) ) {
out$Description <- paste0(
'Scores for the SCARED Generalized Anxiety Disorder ',
'subscale – measure of the presence of GAD symptoms in subject'
)
out$Units <- 'Summed Score'
out$Subscale <- list(
name = 'Generalized Anxiety Disorder',
n_items = 9,
range = c( Min = 0, Max = 18 ),
cut_off = NA,
interpretation = paste0(
'Higher scores indicate more severe symptoms of generalized ',
'anxiety disorder'
)
)
# Close 'Generalized Anxiety Disorder'
}
### Social Phobia
if ( subscale %in% c( 'Social Phobia' ) ) {
out$Description <- paste0(
'Scores for the SCARED Social Phobia subscale – measure of ',
'the presence of social phobia symptoms in subject'
)
out$Units <- 'Summed Score'
out$Subscale <- list(
name = 'Social Phobia',
n_items = 4,
range = c( Min = 0, Max = 8 ),
cut_off = NA,
interpretation = paste0(
'Higher scores indicate more severe symptoms of social phobia'
)
)
# Close 'Social Phobia'
}
### Specific Phobias
if ( subscale %in% c( 'Specific Phobias' ) ) {
out$Description <- paste0(
'Scores for the SCARED Specific Phobias subscale– measure ',
'of the presence of specific phobias in subject'
)
out$Units <- 'Summed score'
out$Subscale <- list(
name = 'Specific Phobias',
n_items = 15,
range = c( Min = 0, Max = 30 ),
cut_off = NA,
interpretation = paste0(
'Higher scores indicate more severe symptoms of specific phobia'
)
)
# Close 'Specific Phobias'
}
### Obsessive Compulsive Disorder
if ( subscale %in% c( 'Obsessive Compulsive Disorder' ) ) {
out$Description <- paste0(
'Scores for the SCARED Obsessive Compulsive Disorder ',
'subscale – measure of the presence of OCD symptoms in subject'
)
out$Units <- 'Summed score'
out$Subscale <- list(
name = 'Obsessive Compulsive Disorder',
n_items = 9,
range = c( Min = 0, Max = 18 ),
cut_off = NA,
interpretation = paste0(
'Higher scores indicate more severe symptoms of ',
'obsessive compulsive disorder'
)
)
# Close 'Obsessive Compulsive Disorder'
}
### Traumatic Stress Disorder
if ( subscale %in% c( 'Traumatic Stress Disorder' ) ) {
out$Description <- paste0(
'Scores for the SCARED Traumatic Stress Disorder ',
'subscale – measure of the presence of traumatic ',
'stress disorder symptoms in subject'
)
out$Units <- 'Summed score'
out$Subscale <- list(
name = 'Traumatic Stress Disorder',
n_items = 4,
range = c( Min = 0, Max = 8 ),
cut_off = NA,
interpretation = paste0(
'Higher scores indicate more severe symptoms of ',
'traumatic stress disorder'
)
)
# Close 'Traumatic Stress Disorder'
}
# Close 'Subscales'
}
# Close 'SCARED'
}
#### 1.35) SF-12 ####
if ( abbreviation == 'SF-12' ) {
### Overall
out$Description <- NULL
out$Units <- NULL
out$Scale <- list(
name = 'Short-Form 12-item Health Survey',
n_items = 12,
range = c( Min = NA, Max = NA ),
abbreviation = 'SF-12',
cut_off = NA,
reference = c(
paste0(
"Ware Jr, J. E., Kosinski, M., & Keller, S. D. (1996). ",
"A 12-Item Short-Form Health Survey: construction of scales ",
"and preliminary tests of reliability and validity. Medical ",
"care, 220-233. ",
"https://doi.org/10.1097/00005650-199603000-00003"
)
),
reference_identifier = c(
DOI = "10.1348/014466501163463"
),
interpretation = "",
values_and_labels = "10.1097/00005650-199603000-00003"
)
### Subscales
if ( subscale != '' ) {
### Mental
if ( subscale == 'Mental' ) {
out$Description <- paste0(
"Normed scores for the SF-12 mental subscale - ",
"measure of the degree of general mental health ",
"of the respondent"
)
out$Units <- paste0(
"T-score"
)
out$Subscale <- list(
name = 'General mental health',
n_items = 6,
range = c( Mean = 50, SD = 10 ),
cut_off = NA,
interpretation = paste0(
"Higher scores indicate indicate better degree of ",
"mental health"
)
)
# Close 'Mental'
}
### Physical
if ( subscale == 'Physical' ) {
out$Description <- paste0(
"Normed scores for the SF-12 physical subscale - ",
"measure of the degree of general physical health of ",
"the respondent"
)
out$Units <- paste0(
"T-score"
)
out$Subscale <- list(
name = 'General physical health',
n_items = 6,
range = c( Mean = 50, SD = 10 ),
cut_off = NA,
interpretation = paste0(
"Higher scores indicate better degree of ",
"physical health"
)
)
# Close 'Physical'
}
# Close 'Subscales'
}
# Close 'SF-12'
}
#### 1.36) TIPI ####
if ( abbreviation %in% c( 'TIPI' ) ) {
### Overall
out$Description <- NULL
out$Units <- NULL
out$Scale <- list(
name = 'Ten Item Personality Inventory',
n_items = 10,
range = c( Min = NA, Max = NA ),
abbreviation = 'TIPI',
cut_off = NA,
reference = paste0(
'Gosling, S. D., Rentfrow, P. J., & Swann, W. B., Jr. ',
'(2003). A very brief measure of the Big-Five personality ',
'domains. Journal of Research in Personality, 37(6), ',
'504–528. https://doi.org/10.1016/S0092-6566(03)00046-1'
),
reference_identifier = c(
DOI = "10.1016/S0092-6566(03)00046-1"
),
interpretation = "",
values_and_labels = ""
)
### Subscales
if ( subscale != '' ) {
### Extraversion
if ( subscale %in% c( 'Extraversion' ) ) {
out$Description <- paste0(
'Scores for the TIPI extraversion subscale– measure of ',
'the subject’s level of extraversion'
)
out$Units <- 'Summed score'
out$Subscale <- list(
name = 'Extraversion',
n_items = 2,
range = c( Min = 2, Max = 14 ),
cut_off = NA,
interpretation = paste0(
'Higher scores indicate higher level of extraversion; ',
'lower scores indicate higher level of introversion'
)
)
# Close 'Extraversion'
}
### Agreeableness
if ( subscale %in% c( 'Agreeableness' ) ) {
out$Description <- paste0(
'Scores for the TIPI agreeableness subscale – measure of ',
'the subject’s level of agreeableness'
)
out$Units <- 'Summed score'
out$Subscale <- list(
name = 'Agreeableness',
n_items = 2,
range = c( Min = 2, Max = 14 ),
cut_off = NA,
interpretation = paste0(
'Higher scores indicate higher level of agreeableness'
)
)
# Close 'Agreeableness'
}
### Conscientiousness
if ( subscale %in% c( 'Conscientiousness' ) ) {
out$Description <- paste0(
'Scores for the TIPI conscientiousness subscale – measure ',
'of the subject’s level of conscientiousness'
)
out$Units <- 'Summed Score'
out$Subscale <- list(
name = 'Conscientiousness',
n_items = 2,
range = c( Min = 2, Max = 14 ),
cut_off = NA,
interpretation = paste0(
'Higher scores indicate higher level of conscientiousness'
)
)
# Close 'Conscientiousness'
}
### Emotional Stability
if ( subscale %in% c( 'Emotional Stability' ) ) {
out$Description <- paste0(
'Scores for the TIPI emotional stability subscale – measure ',
'of the subject’s level of emotional stability'
)
out$Units <- 'Summed Score'
out$Subscale <- list(
name = 'Emotional Stability',
n_items = 2,
range = c( Min = 2, Max = 14 ),
cut_off = NA,
interpretation = paste0(
'Higher scores indicate higher level of emotional stability'
)
)
# Close 'Emotional Stability'
}
### Openness
if ( subscale %in% c( 'Openness' ) ) {
out$Description <- paste0(
'Scores for the TIPI openness subscale – measure of the ',
'subject’s level of openness to experiences'
)
out$Units <- 'Summed score'
out$Subscale <- list(
name = 'Openness',
n_items = 2,
range = c( Min = 2, Max = 14 ),
cut_off = NA,
interpretation = paste0(
'Higher scores indicate higher level of openness to experiences'
)
)
# Close 'Openness'
}
# Close 'Subscales'
}
# Close 'TIPI'
}
#### 1.37) CES-D ####
if ( abbreviation == 'CES-D' ) {
out$Description <- paste0(
'Scores for the CES-D - measure ',
'of depressive symptomatology'
)
out$Units <- "Summed score"
out$Scale <- list(
name = 'The Center for Epidemiologic Studies Depression Scale',
n_items = 20,
range = c( Min = 0, Max = 60 ),
abbreviation = 'CES-D',
cut_off = 15,
reference = c(
paste0(
"Radloff, L. S. (1977) The CES-D scale: A self-report ",
"depression scale for research in the general ",
"population. Applied Psychological Measurement, 1 (3) 385-401. ",
"https://doi.org/10.1177/014662167700100306"
)
),
reference_identifier = c(
DOI = "10.1177/014662167700100306"
),
interpretation = paste0(
"Higher scores indicate a greater degree of depression"
),
values_and_labels = list(
content = 0:3,
additional_content = c(
"Rarely or none of the time (less than 1 day )",
"Some or a little of the time (1-2 days)",
"Occasionally or a moderate amount of time (3-4 days)",
" Most or all of the time (5-7 days)"
)
)
)
# Close 'CES-D'
}
#### 1.38) UPPS-P ####
if ( abbreviation == 'UPPS-P' ) {
### Overall
out$Description <- NULL
out$Units <- NULL
out$Scale <- list(
name = 'UPPS-P Impulsive Behavior Scale',
n_items = 59,
range = c( Min = NA, Max = NA ),
abbreviation = 'UPPS-P',
cut_off = NA,
reference = c(
paste0(
"Whiteside, S. P., & Lynam, D. R. (2001). ",
"The five factor model and impulsivity: Using a ",
"structural model of personality to understand ",
"impulsivity. Personality and Individual Differences, ",
"30 (4), 669-689. ",
"https://doi.org/10.1016/S0191-8869(00)00064-7"
),
paste0(
"Cyders, M. A., Smith, G. T., Spillane, N. S., Fischer, ",
"S., Annus, A. M., & Peterson, C. (2007). Integration of ",
"impulsivity and positive mood to predict risky behavior: ",
"Development and validation of a measure of positive ",
"urgency. Psychological Assessment, 19 (1), 107-118. ",
"https://doi.org/10.1037/1040-3590.19.1.107"
)
),
reference_identifier = c(
DOI = "10.1016/S0191-8869(00)00064-7",
DOI = "10.1037/1040-3590.19.1.107"
),
values_and_labels = list(
content = 1:4,
additional_content = c(
"Agree strongly",
"Agree somewhat",
"Disagree somewhat",
"Disagree strongly"
)
)
)
### Subscales
if ( subscale != '' ) {
### Negative urgency
if ( subscale %in% c(
'Negative urgency',
'(Negative) Urgency',
'Urgency'
) ) {
out$Description <- paste0(
"Scores for the UPPS-P negative urgency ",
"subscale - measure of the tendency for ",
"a person to act rashly under extreme ",
"negative emotions"
)
out$Units <- "Summed score"
out$Subscale <- list(
name = 'Negative urgency',
n_items = 12,
range = c( Min = 12, Max = 48 ),
cut_off = NA,
interpretation = paste0(
"Higher scores indicate a greater tendency ",
"towards rashness during negative moods"
)
)
# Close 'Negative urgency'
}
### Lack of premeditation
if ( subscale %in% c(
'Lack of premeditation',
'(Lack of) Premeditation',
'Premeditation'
) ) {
out$Description <- paste0(
"Scores for the UPPS-P lack of premeditation ",
"subscale - measure of the tendency for a ",
"person to act without thinking"
)
out$Units <- "Summed score"
out$Subscale <- list(
name = 'Lack of premeditation',
n_items = 11,
range = c( Min = 11, Max = 44 ),
cut_off = NA,
interpretation = paste0(
"Higher scores indicate a greater ",
"tendency to act without thinking beforehand"
)
)
# Close 'Lack of premeditation'
}
### Lack of perseverance
if ( subscale %in% c(
'Lack of perseverance',
'(Lack of) Perseverance',
'Perseverance'
) ) {
out$Description <- paste0(
"Scores for the UPPS-P lack of perseverance ",
"subscale - a measure of the inability to ",
"remain focused on a task"
)
out$Units <- "Summed score"
out$Subscale <- list(
name = 'Lack of premeditation',
n_items = 10,
range = c( Min = 10, Max = 40 ),
cut_off = NA,
interpretation = paste0(
"Higher scores indicate a greater ",
"inability to remain focused on a task"
)
)
# Close 'Lack of perseverance'
}
### Sensation seeking
if ( subscale %in% c(
'Sensation seeking',
'Sensation Seeking'
) ) {
out$Description <- paste0(
"Scores for the UPPS-P sensation seeking ",
"subscale - measure of the tendency for a ",
"person to seek out novel and thrilling experiences"
)
out$Units <- "Summed score"
out$Subscale <- list(
name = 'Sensation seeking',
n_items = 12,
range = c( Min = 12, Max = 48 ),
cut_off = NA,
interpretation = paste0(
"Higher scores indicate a greater ",
"willingness to seek out novel and ",
"thrilling experiences"
)
)
# Close 'Sensation seeking'
}
### Positive urgency
if ( subscale %in% c(
'Positive urgency',
'Positive Urgency'
) ) {
out$Description <- paste0(
"Scores for the UPPS-P positive urgency ",
"subscale - measure of the tendency for ",
"a person to act rashly under extreme ",
"positive emotions"
)
out$Units <- "Summed score"
out$Subscale <- list(
name = 'Sensation seeking',
n_items = 14,
range = c( Min = 14, Max = 56 ),
cut_off = NA,
interpretation = paste0(
"Higher scores indicate a greater ",
"tendency to act rashly during ",
"positive moods"
)
)
# Close 'Positive urgency'
}
# Close 'Subscales'
}
# Close 'UPPS-P'
}
#### 1.39) WTAR ####
if ( abbreviation == 'WTAR' ) {
out$Description <- paste0(
'Scores for the WTAR - measure of intellectual function'
)
out$Units <- 'Summed score'
out$Scale <- list(
name = 'Wechsler Test of Adult Reading',
n_items = 50,
range = c( Min = 0, Max = 50 ),
abbreviation = 'WTAR',
cut_off = NA,
reference = paste0(
'Holdnack, H.A. (2001). Wechsler Test of Adult Reading: ',
'WTAR. San Antonio. The Psychological Corporation.'
),
interpretation = paste0(
'Higher scores indicate greater intellectual function'
)
)
# Close 'WTAR'
}
#### 1.40) WHODAS 2.0 CHECK!!! ####
if ( abbreviation %in% c( 'WHODAS', 'WHODAS 2.0' ) ) {
### Overall
out$Scale <- list(
name = 'World Health Organization Disability Assement Scale 2.0',
n_items = 36,
range = c( Min = NA, Max = NA ),
abbreviation = 'WHODAS 2.0',
cut_off = NA,
reference = c(
paste0(
'Ustun, T. B., & World Health Organization. (2010). ',
'Measuring health and disability: Manual for WHO ',
'Disability Assessment Schedule WHODAS 2.0. Geneva: ',
'World Health Organization.'
)
),
interpretation = paste0(
'Higher scores indicate greater difficulties ',
'with activities of daily living'
)
)
### Subscales
if ( subscale != '' ) {
### IRT-based scores
if ( subscale %in% c( 'IRT-based scores',
'Item response theory',
'IRT',
'Item response theory scores',
'IRT scores' ) ) {
out$Description <- paste0(
'Item response theory based scores for the ',
'WHODAS 2.0 - measure of degree of disability ',
'which negatively impacts daily life'
)
out$Units <- "Scaled score"
out$Subscale <- list(
name = 'IRT-based scores',
n_items = 36,
range = c( Min = 0, Max = 100 ),
cut_off = NA,
interpretation = paste0(
"Higher scores indicate a greater degree of disability"
)
)
# Close 'IRT-based scores'
}
### Percentile rank
if ( subscale %in% c( 'Percentile rank',
'percentile rank' ) ) {
out$Description <- paste0(
'Percentile rank based on norms for the ',
'WHODAS 2.0 - measure of ',
'percentage of individuals who report a lesser ',
'degree of disability'
)
out$Units <- "Percentile rank"
out$Subscale <- list(
name = 'Percentile rank',
n_items = 36,
range = c( Min = 0, Max = 100 ),
cut_off = NA,
interpretation = paste0(
"Higher scores indicate a greater percentage of ",
"individuals with a lesser degree of disability"
)
)
# Close 'Percentile rank'
}
# Close 'Subscales'
}
# Close 'WHODAS 2.0'
}
#### 1.41) Y-PSC ####
if ( abbreviation %in% c( 'Y-PSC' ) ) {
out$Description <- paste0(
'Scores for the Y-PSC - measure ',
'of psychosocial functioning in youth'
)
out$Units <- "Summed score"
out$Scale <- list(
name = 'Pediatric Symptom Checklist - Youth Report',
n_items = 35,
range = c( Min = 0, Max = 70 ),
abbreviation = 'Y-PSC',
cut_off = c(
Psychological_impairment = 30
),
reference = paste0(
'Jellinek, M. S., J. M. Murphy, J. Robinson, A. Feins, ',
'S. Lamb and T. Fenton (1988). The Pediatric Symptom ',
'Checklist: Screening school-age children for ',
'psychosocial dysfunction. The Journal of Pediatrics, ',
'(112) (2), 201-209. ',
'https://doi.org/10.1016/S0022-3476(88)80056-8'
),
interpretation = paste0(
"Higher scores indicate greater impairment in ",
"psychosocial functioning"
)
)
# Close 'Y-PSC'
}
if ( is.null( out$Scale ) ) {
stop( 'Scale or subscale not found' )
} else {
if ( is.null( out$Subscale ) ) {
out$Subscale <- ''
}
return( out )
}
}
#### 2) camr_add_inventory_item ####
#' Add Individual Inventory Item With Codebook Entry
#'
#' Convenience function to add a column with scores
#' for an individual item or question from an
#' inventory, survey, or questionnaire. Can also
#' add the associated codebook entry for the item.
#'
#' @param dtf_original A data frame with the
#' column of scores for the given item or question.
#' @param dtf_new A data frame to which the column
#' of scores will be added.
#' @param chr_original_column A character string, the
#' column name in \code{dtf_original} to add.
#' @param chr_new_column A character string, the
#' new column name to use in \code{dtf_new}.
#' @param vec_response_options A vector, the original
#' response options. Used to recode the response
#' options if needed.
#' @param vec_new_values A vector, the new values to
#' replace \code{vec_response options} with. Must
#' match in length to \code{vec_response_options}.
#' @param lst_values_and_labels A named list with
#' \code{'content'} containing the numeric values
#' and \code{'additional_content'} containing the
#' labels or interpretations for the values.
#' @param chr_inventory A character string, the
#' name of the inventory, survey, or questionnaire
#' to which the item belongs.
#' @param chr_question A character string, the item's
#' framing question.
#' @param chr_description A character string,
#' allows a user to specify a custom description
#' rather than one auto-filled using \code{chr_inventory}
#' and \code{chr_question}.
#' @param ... Additional arguments for the
#' [camrprojects::camr_add_codebook_entry] function.
#'
#' @returns A data frame with an additional column
#' containing the scores for the individual item
#' or question.
#'
#' @export
camr_add_inventory_item <- function(
dtf_original,
dtf_new,
chr_original_column,
chr_new_column,
vec_response_options = NULL,
vec_new_values = NULL,
lst_values_and_labels = "",
chr_inventory = "",
chr_question = "",
chr_description = "",
... ) {
# Number of rows in data frame
N_rows <- nrow( dtf_new )
# Extract scores for specified item
vec_scores <- dtf_original[[ chr_original_column ]]
# If response options and new values are provided
if ( !is.null( vec_new_values ) & !is.null( vec_response_options ) ) {
# Initialize new vector of scores
vec_transformed_scores <- rep( NA, N_rows )
# Number of response options
N_options <- length( vec_response_options )
# Check inputs
if ( length( vec_new_values ) != N_options ) {
stop(
paste0(
"The arguments 'vec_new_values' and 'vec_response_options' ",
"must match in length"
)
)
# Close 'Check inputs'
}
# Loop over response options
for ( l in 1:N_options ) {
lgc_rows <- vec_scores %in% vec_response_options[l]
vec_transformed_scores[ lgc_rows ] <- vec_new_values[l]
# Close 'Loop over response options'
}
lst_values_and_labels <- list(
content = vec_new_values,
additional_content = vec_response_options
)
# Close 'If values and labels are provided'
} else {
vec_transformed_scores <- vec_scores
# Close else for 'If values and labels are provided'
}
mat_new <- cbind(
vec_transformed_scores
)
colnames( mat_new ) <- chr_new_column
dtf_new <- cbind(
dtf_new, mat_new
)
lgc_codebook <-
( chr_inventory != "" ) |
( chr_question != "" ) |
( chr_description != "" )
chr_item_number <- ''
# Extract item number
if ( grepl( 'Item_', chr_new_column, fixed = TRUE ) ) {
chr_parts <- strsplit(
chr_new_column, split = '.', fixed = TRUE
)[[1]]
chr_item_number <-
chr_parts[ grepl( 'Item_', chr_parts, fixed = TRUE ) ]
chr_item_number <- gsub(
'Item_', '', chr_item_number, fixed = TRUE
)
chr_item_number <- paste0(
' ', chr_item_number
)
# Close 'Extract item number'
}
# If inputs for codebook entry provided
if ( lgc_codebook ) {
# Remove commas
if ( chr_question != '' ) {
chr_question <-
gsub( ',', ' - ', chr_question, fixed = TRUE )
# Close 'Remove commas'
}
# Combine item number + inventory + question
if ( chr_inventory != "" &
chr_question != "" ) {
chr_description <- paste0(
'Response to item',
chr_item_number,
' for the ',
chr_inventory, ' asking: ',
chr_question
)
# Close 'Combine item number + inventory + question'
}
# Combine item number + inventory
if ( chr_inventory != "" &
chr_question == "" ) {
chr_description <- paste0(
'Response to item',
chr_item_number,
' for the ',
chr_inventory
)
# Close 'Combine item number + inventory'
}
# Question
if ( chr_inventory == "" &
chr_question != "" ) {
chr_description <- chr_question
# Close 'Question'
}
# Create codebook entry
dtf_new <- dtf_new |> camr_add_codebook_entry(
chr_new_column,
description = chr_description,
values_and_labels = lst_values_and_labels,
created_from = chr_original_column,
non_standard = FALSE,
...
)
# Close 'If inputs for codebook entry provided'
}
return( dtf_new )
}
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