score_dusi: Score the Short Version of the Revised Drug Use Screening...

In PennStateDEPENdLab/dependlab: Useful functions for the UNC Chapel Hill DEPENd Lab (Director: Michael Hallquist)

Score the Short Version of the Revised Drug Use Screening Inventory (DUSI-R) (Tarter, 1990)

Description

Score the Short Version of the Revised Drug Use Screening Inventory (DUSI-R) (Tarter, 1990)

Usage

score_dusi(
  df,
  item_prefix = "DUSI_",
  max_impute = 0.2,
  drop_items = FALSE,
  input_codes = c(0, 1),
  false_value = 0,
  true_value = 1,
  bad_items = NULL,
  add_alphas = TRUE
)

Arguments

df	a data.frame containing the 15 DUSI-R SF items to be scored
item_prefix	a character prefix of the items names in df to be scored. Default: "DUSI_"
max_impute	the proportion of missingness [0..1) or number [1..n] of missing values per scale. Default: 0.2 Below this threshold, the person subscale mean will be imputed for missing items.
drop_items	whether to remove the item-level data from the df. Default: FALSE
input_codes	the original T/F coding scheme of the input data.frame in the form c(False Code, True Code). These are converted to the specified false and true value.
false_value	the 'False' value for the item anchors, used in score validation. Default: 0
true_value	the 'True' value for the item anchors, used in score validation. Default: 1
bad_items	numeric value or vector of the items that need to be dropped before imputation or calculation of subscales
add_alphas	whether to compute coefficient alpha for the total scale and return a column attribute. Default: TRUE

Details

Adds two columns, DUSI_total and DUSI_density, to df containing the sum of scores and mean of the items for the scales (i.e., the "absolute problem density"), respectively.

Note: the code assumes that pasting together the item_prefix and the numbers 1:15 will yield the 15 items from the test.

Author(s)

Michael Hallquist, Zach Vig

PennStateDEPENdLab/dependlab documentation built on April 10, 2024, 5:15 p.m.