msqR: 75 mood items from the Motivational State Questionnaire for...

In psychTools: Tools to Accompany the 'psych' Package for Psychological Research

75 mood items from the Motivational State Questionnaire for 3032 unique participants

Description

Emotions may be described either as discrete emotions or in dimensional terms. The Motivational State Questionnaire (MSQ) was developed to study emotions in laboratory and field settings. The data can be well described in terms of a two dimensional solution of energy vs tiredness and tension versus calmness. Alternatively, this space can be organized by the two dimensions of Positive Affect and Negative Affect. Additional items include what time of day the data were collected and a few personality questionnaire scores. 3032 unique participants took the MSQ at least once, 2753 at least twice, 446 three times, and 181 four times. The 3032 participants also took the sai state anxiety inventory at the same time. Some studies manipulated arousal by caffeine, others manipulations included affect inducing movies.

Usage

data("msqR")

Format

A data frame with 6411 observations on the following 88 variables.

active

a numeric vector

afraid

a numeric vector

alert

a numeric vector

alone

a numeric vector

angry

a numeric vector

aroused

a numeric vector

ashamed

a numeric vector

astonished

a numeric vector

at.ease

a numeric vector

at.rest

a numeric vector

attentive

a numeric vector

blue

a numeric vector

bored

a numeric vector

calm

a numeric vector

clutched.up

a numeric vector

confident

a numeric vector

content

a numeric vector

delighted

a numeric vector

depressed

a numeric vector

determined

a numeric vector

distressed

a numeric vector

drowsy

a numeric vector

dull

a numeric vector

elated

a numeric vector

energetic

a numeric vector

enthusiastic

a numeric vector

excited

a numeric vector

fearful

a numeric vector

frustrated

a numeric vector

full.of.pep

a numeric vector

gloomy

a numeric vector

grouchy

a numeric vector

guilty

a numeric vector

happy

a numeric vector

hostile

a numeric vector

inspired

a numeric vector

intense

a numeric vector

interested

a numeric vector

irritable

a numeric vector

jittery

a numeric vector

lively

a numeric vector

lonely

a numeric vector

nervous

a numeric vector

placid

a numeric vector

pleased

a numeric vector

proud

a numeric vector

quiescent

a numeric vector

quiet

a numeric vector

relaxed

a numeric vector

sad

a numeric vector

satisfied

a numeric vector

scared

a numeric vector

serene

a numeric vector

sleepy

a numeric vector

sluggish

a numeric vector

sociable

a numeric vector

sorry

a numeric vector

still

a numeric vector

strong

a numeric vector

surprised

a numeric vector

tense

a numeric vector

tired

a numeric vector

unhappy

a numeric vector

upset

a numeric vector

vigorous

a numeric vector

wakeful

a numeric vector

warmhearted

a numeric vector

wide.awake

a numeric vector

anxious

a numeric vector

cheerful

a numeric vector

idle

a numeric vector

inactive

a numeric vector

tranquil

a numeric vector

kindly

a numeric vector

scornful

a numeric vector

Extraversion

Extraversion from the EPI

Neuroticism

Neuroticism from the EPI

Lie

Lie from the EPI

Sociability

Sociability from the EPI

Impulsivity

Impulsivity from the EPI

gender

1= male, 2 = female (coded on presumed x chromosome). Slowly being added to the data set.

TOD

Time of day that the study was run

drug

1 if given placebo, 2 if given caffeine

film

1-4 if given a film: 1=Frontline, 2= Halloween, 3=Serengeti, 4 = Parenthood

time

Measurement occasion (1 and 2 are same session, 3 and 4 are the same, but a later session)

id

a numeric vector

form

msq versus msqR

study

a character vector of the experiment name

Details

The Motivational States Questionnaire (MSQ) is composed of 75 items, which represent the full affective space (Revelle & Anderson, 1998). The MSQ consists of 20 items taken from the Activation-Deactivation Adjective Check List (Thayer, 1986), 18 from the Positive and Negative Affect Schedule (PANAS, Watson, Clark, & Tellegen, 1988) along with the affective circumplex items used by Larsen and Diener (1992). The response format was a four-point scale that corresponds to Russell and Carroll's (1999) "ambiguous–likely-unipolar format" and that asks the respondents to indicate their current standing (“at this moment") with the following rating scale:
0—————-1—————-2—————-3
Not at all A little Moderately Very much

The original version of the MSQ included 70 items. Intermediate analyses (done with 1840 subjects) demonstrated a concentration of items in some sections of the two dimensional space, and a paucity of items in others. To begin correcting this, 3 items from redundantly measured sections (alone, kindly, scornful) were removed, and 5 new ones (anxious, cheerful, idle, inactive, and tranquil) were added. Thus, the correlation matrix is missing the correlations between items anxious, cheerful, idle, inactive, and tranquil with alone, kindly, and scornful.

2605 individuals took Form 1 version, 3806 the Form 2 version. 3032 people (1218 form 1, 1814 form 2) took the MSQ at least once. 2086 at least twice, 1112 three times, and 181 four times.

To see the relative frequencies by time and form, see the first example.

Procedure. The data were collected over nine years in the Personality, Motivation and Cognition laboratory at Northwestern, as part of a series of studies examining the effects of personality and situational factors on motivational state and subsequent cognitive performance. In each of 38 studies, prior to any manipulation of motivational state, participants signed a consent form and in some studies, consumed 0 or 4mg/kg of caffeine. In caffeine studies, they waited 30 minutes and then filled out the MSQ. (Normally, the procedures of the individual studies are irrelevant to this data set and could not affect the responses to the MSQ at time 1, since this instrument was completed before any further instructions or tasks. However, caffeine does have an effect.) The MSQ post test following a movie manipulation) is available in affect as well as here.

The XRAY study crossed four movie conditions with caffeine. The first MSQ measures are showing the effects of the movies and caffeine, but after an additional 30 minutes, the second MSQ seems to mainly show the caffeine effects. The movies were 9 minute clips from 1) a BBC documentary on British troops arriving at the Bergen-Belsen concentration camp (sad); 2) an early scene from Halloween in which the heroine runs around shutting doors and windows (terror); 3) a documentary about lions on the Serengeti plain, and 4) the "birthday party" scene from Parenthood.

The FLAT study measured affect before, immediately after, and then after 30 minutes following a movie manipulation. See the affect data set.

To see which studies used which conditions, see the second and third examples.

The EA and TA scales are from Thayer, the PA and NA scales are from Watson et al. (1988). Scales and items:

Energetic Arousal: active, energetic, vigorous, wakeful, wide.awake, full.of.pep, lively, -sleepy, -tired, - drowsy (ADACL)

Tense Arousal: Intense, Jittery, fearful, tense, clutched up, -quiet, -still, - placid, - calm, -at rest (ADACL)

Positive Affect: active, alert, attentive, determined, enthusiastic, excited, inspired, interested, proud, strong (PANAS)

Negative Affect: afraid, ashamed, distressed, guilty, hostile, irritable , jittery, nervous, scared, upset (PANAS)

The PA and NA scales can in turn can be thought of as having subscales: (See the PANAS-X) Fear: afraid, scared, nervous, jittery (not included frightened, shaky) Hostility: angry, hostile, irritable, (not included: scornful, disgusted, loathing guilt: ashamed, guilty, (not included: blameworthy, angry at self, disgusted with self, dissatisfied with self) sadness: alone, blue, lonely, sad, (not included: downhearted) joviality: cheerful, delighted, energetic, enthusiastic, excited, happy, lively, (not included: joyful) self-assurance: proud, strong, confident, (not included: bold, daring, fearless ) attentiveness: alert, attentive, determined (not included: concentrating)

The next set of circumplex scales were taken from Larsen and Diener (1992). High activation: active, aroused, surprised, intense, astonished Activated PA: elated, excited, enthusiastic, lively Unactivated NA : calm, serene, relaxed, at rest, content, at ease PA: happy, warmhearted, pleased, cheerful, delighted Low Activation: quiet, inactive, idle, still, tranquil Unactivated PA: dull, bored, sluggish, tired, drowsy NA: sad, blue, unhappy, gloomy, grouchy Activated NA: jittery, anxious, nervous, fearful, distressed.

Keys for these separate scales are shown in the examples.

In addition to the MSQ, there are 5 scales from the Eysenck Personality Inventory (Extraversion, Impulsivity, Sociability, Neuroticism, Lie). The Imp and Soc are subsets of the the total extraversion scale based upon a reanalysis of the EPI by Rocklin and Revelle (1983). This information is in the msq data set as well.

Note

In December, 2018 the caffeine, film and personality conditions were added. In the process of doing so, it was discovered that the EMIT data had been incorrectly entered. This has been fixed.

Source

Data collected at the Personality, Motivation, and Cognition Laboratory, Northwestern University.

References

Larsen, R. J., & Diener, E. (1992). Promises and problems with the circumplex model of emotion. In M. S. Clark (Ed.), Review of personality and social psychology, No. 13. Emotion (pp. 25-59). Thousand Oaks, CA, US: Sage Publications, Inc.

Rafaeli, Eshkol and Revelle, William (2006), A premature consensus: Are happiness and sadness truly opposite affects? Motivation and Emotion, 30, 1, 1-12.

Revelle, W. and Anderson, K.J. (1998) Personality, motivation and cognitive performance: Final report to the Army Research Institute on contract MDA 903-93-K-0008. (https://www.personality-project.org/revelle/publications/ra.ari.98.pdf).

Smillie, Luke D. and Cooper, Andrew and Wilt, Joshua and Revelle, William (2012) Do Extraverts Get More Bang for the Buck? Refining the Affective-Reactivity Hypothesis of Extraversion. Journal of Personality and Social Psychology, 103 (2), 206-326.

Thayer, R.E. (1989) The biopsychology of mood and arousal. Oxford University Press. New York, NY.

Watson,D., Clark, L.A. and Tellegen, A. (1988) Development and validation of brief measures of positive and negative affect: The PANAS scales. Journal of Personality and Social Psychology, 54(6):1063-1070.

See Also

msq for 3896 participants with scores on five scales of the EPI. affect for an example of the use of some of these adjectives in a mood manipulation study.

make.keys, scoreItems and scoreOverlap for instructions on how to score multiple scales with and without item overlap. Also see fa and fa.extension for instructions on how to do factor analyses or factor extension.

Given the temporal ordering of the sai data and the msqR data, these data are useful for demonstrations of testRetest reliability. See the examples in testRetest for how to combine the sai tai and msqR datasets.

Examples

data(msqR)
table(msqR$form,msqR$time) #which forms?
table(msqR$study,msqR$drug) #Drug studies
table(msqR$study,msqR$film) #Film studies
table(msqR$study,msqR$TOD) #To examine time of day


#score them for 20 short scales -- note that these have item overlap
#The first 2 are from Thayer
#The next 2 are classic positive and negative affect 
#The next 9 are circumplex scales
#the last 7 are msq estimates of PANASX scales (missing some items)
keys.list <- list(
EA = c("active", "energetic", "vigorous", "wakeful", "wide.awake", "full.of.pep",
       "lively", "-sleepy", "-tired", "-drowsy"),
TA =c("intense", "jittery", "fearful", "tense", "clutched.up", "-quiet", "-still", 
       "-placid", "-calm", "-at.rest") ,
PA =c("active", "excited", "strong", "inspired", "determined", "attentive", 
          "interested", "enthusiastic", "proud", "alert"),
NAf =c("jittery", "nervous", "scared", "afraid", "guilty", "ashamed", "distressed",  
         "upset", "hostile", "irritable" ),
HAct = c("active", "aroused", "surprised", "intense", "astonished"),
aPA = c("elated", "excited", "enthusiastic", "lively"),
uNA = c("calm", "serene", "relaxed", "at.rest", "content", "at.ease"),
pa = c("happy", "warmhearted", "pleased", "cheerful", "delighted" ),
LAct = c("quiet", "inactive", "idle", "still", "tranquil"),
uPA =c( "dull", "bored", "sluggish", "tired", "drowsy"),
naf = c( "sad", "blue", "unhappy", "gloomy", "grouchy"),
aNA = c("jittery", "anxious", "nervous", "fearful", "distressed"),
Fear = c("afraid" , "scared" , "nervous" , "jittery" ) ,
Hostility = c("angry" ,  "hostile", "irritable", "scornful" ), 
Guilt = c("guilty" , "ashamed" ),
Sadness = c( "sad"  , "blue" , "lonely",  "alone" ),
Joviality =c("happy","delighted", "cheerful", "excited", "enthusiastic", "lively", "energetic"), 
Self.Assurance=c( "proud","strong" , "confident" , "-fearful" ),
Attentiveness = c("alert" , "determined" , "attentive" ))

#acquiscence = c("sleepy" ,  "wakeful" ,  "relaxed","tense"))
#Yik Russell and Steiger list the following items
Yik.keys <- list(
pleasure =psych::cs(happy,content,satisfied, pleased),
act.pleasure =psych::cs(proud,enthusiastic,euphoric),
pleasant.activation = psych::cs(energetic,full.of.pep,excited,wakeful,attentive,
   wide.awake,active,alert,vigorous),
activation = psych::cs(aroused,hyperactivated,intense),
unpleasant.act = psych::cs(anxious,frenzied,jittery,nervous),
activated.displeasure =psych::cs(scared,upset,shaky,fearful,clutched.up,tense,
    ashamed,guilty,agitated,hostile),
displeaure =psych::cs(troubled,miserable,unhappy,dissatisfied),
Ueactivated.Displeasure = psych::cs(sad,down,gloomy,blue,melancholy),
Unpleasant.Deactivation = psych::cs(droopy,drowsy,dull,bored,sluggish,tired),
Deactivation =psych::cs( quiet,still),
pleasant.deactivation = psych::cs(placid,relaxed,tranquil, at.rest,calm),
deactived.pleasure =psych::cs( serene,soothed,peaceful,at.ease,secure)
)

#of these 60 items, 46 appear in the msqR
Yik.msq.keys <- list(
Pleasure =psych::cs(happy,content,satisfied, pleased),
Activated.Pleasure =psych::cs(proud,enthusiastic),
Pleasant.Activation = psych::cs(energetic,full.of.pep,excited,wakeful,attentive,
    wide.awake,active,alert,vigorous),
Activation = psych::cs(aroused,intense),
Unpleasant.Activation = psych::cs(anxious,jittery,nervous),
Activated.Displeasure =psych::cs(scared,upset,fearful,
          clutched.up,tense,ashamed,guilty,hostile),
Displeasure = psych::cs(unhappy),
Deactivated.Displeasure = psych::cs(sad,gloomy,blue),
Unpleasant.Deactivation = psych::cs(drowsy,dull,bored,sluggish,tired),
Deactivation =psych::cs( quiet,still),
Pleasant.Deactivation = psych::cs(placid,relaxed,tranquil, at.rest,calm),
Deactivated.Pleasure =psych::cs( serene,at.ease)
)   
yik.scores <- psych::scoreItems(Yik.msq.keys,msqR)
yik <- yik.scores$scores
f2.yik <- psych::fa(yik,2) #factor the yik scores
psych::fa.plot(f2.yik,labels=colnames(yik),title="Yik-Russell-Steiger circumplex",cex=.8,
      pos=(c(1,1,2,1,1,1,3,1,4,1,2,4)))

       
msq.scores <- psych::scoreItems(keys.list,msqR)

#show a circumplex structure for the non-overlapping items
fcirc <- psych::fa(msq.scores$scores[,5:12],2)  
psych::fa.plot(fcirc,labels=colnames(msq.scores$scores)[5:12])


#now, find the correlations corrected for item overlap
msq.overlap <- psych::scoreOverlap(keys.list,msqR)
f2 <- psych::fa(msq.overlap$cor,2)
psych::fa.plot(f2,labels=colnames(msq.overlap$cor),
          title="2 dimensions of affect, corrected for overlap")

#extend this solution to EA/TA  NA/PA space
fe  <- psych::fa.extension(cor(msq.scores$scores[,5:12],msq.scores$scores[,1:4]),fcirc)
psych::fa.diagram(fcirc,fe=fe,main="Extending the circumplex structure to  EA/TA and PA/NA ")

#show the 2 dimensional structure
f2 <- psych::fa(msqR[1:72],2)
psych::fa.plot(f2,labels=colnames(msqR)[1:72],title="2 dimensions of affect at the item level")

#sort them by polar coordinates
round(psych::polar(f2),2)

#the msqR and sai data sets have 10 overlapping items which can be used for
#testRetest analysis.  We need to specify the keys, and then choose the appropriate
#data sets  
sai.msq.keys <- list(pos =c( "at.ease" ,  "calm" , "confident", "content","relaxed"),
  neg = c("anxious", "jittery", "nervous" ,"tense"  ,   "upset"),
  anx = c("anxious", "jittery", "nervous" ,"tense", "upset","-at.ease" ,  "-calm" ,
  "-confident", "-content","-relaxed"))
   
select <- psych::selectFromKeys(sai.msq.keys$anx)
#The following is useful for examining test retest reliabilities
msq.control <- subset(msqR,is.element( msqR$study , c("Cart", "Fast", "SHED", "SHOP")))
msq.film <- subset(msqR,(is.element( msqR$study ,  c("FIAT", "FILM","FLAT","MIXX","XRAY"))
    & (msqR$time < 3) )) 

msq.film[((msq.film$study == "FLAT") & (msq.film$time ==3)) ,] <- NA 
msq.drug <- subset(msqR,(is.element( msqR$study ,  c("AGES","SALT", "VALE", "XRAY")))
   &(msqR$time < 3))

msq.day <- subset(msqR,is.element( msqR$study ,  c("SAM", "RIM")))

psychTools documentation built on June 23, 2025, 1:07 a.m.