msq | R Documentation |
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. Additional items include what time of day the data were collected and a few personality questionnaire scores.
data(msq)
A data frame with 3896 observations on the following 92 variables.
active
a numeric vector
afraid
a numeric vector
alert
a numeric vector
angry
a numeric vector
anxious
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
cheerful
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
idle
a numeric vector
inactive
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
tranquil
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
alone
a numeric vector
kindly
a numeric vector
scornful
a numeric vector
EA
Thayer's Energetic Arousal Scale
TA
Thayer's Tense Arousal Scale
PA
Positive Affect scale
NegAff
Negative Affect scale
Extraversion
Extraversion from the Eysenck Personality Inventory
Neuroticism
Neuroticism from the Eysenck Personality Inventory
Lie
Lie from the EPI
Sociability
The sociability subset of the Extraversion Scale
Impulsivity
The impulsivity subset of the Extraversions Scale
MSQ_Time
Time of day the data were collected
MSQ_Round
Rounded time of day
TOD
a numeric vector
TOD24
a numeric vector
ID
subject ID
condition
What was the experimental condition after the msq was given
scale
a factor with levels msq
r
original or revised msq
exper
Which study were the data collected: a factor with levels
AGES
BING
BORN
CART
CITY
COPE
EMIT
FAST
Fern
FILM
FLAT
Gray
imps
item
knob
MAPS
mite
pat-1
pat-2
PATS
post
RAFT
Rim.1
Rim.2
rob-1
rob-2
ROG1
ROG2
SALT
sam-1
sam-2
SAVE/PATS
sett
swam
swam-2
TIME
VALE-1
VALE-2
VIEW
The Motivational States Questionnaire (MSQ) is composed of 72 items, which represent the full affective range (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 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 72 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.
Procedure. The data were collected over nine years, 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 filled out the MSQ. (The procedures of the individual studies are irrelevant to this data set and could not affect the responses to the MSQ, since this instrument was completed before any further instructions or tasks). Some MSQ post test (after manipulations) is available in affect
.
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 (I think) 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.
Data collected at the Personality, Motivation, and Cognition Laboratory, Northwestern University.
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. (http://www.personality-project.org/revelle/publications/ra.ari.98.pdf).
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.
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.
data(msq) if(FALSE){ #not run in the interests of time #basic descriptive statistics describe(msq) } #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 <- make.keys(msq[1:75],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") )) msq.scores <- scoreItems(keys,msq[1:75]) #show a circumplex structure for the non-overlapping items fcirc <- fa(msq.scores$scores[,5:12],2) fa.plot(fcirc,labels=colnames(msq.scores$scores)[5:12]) #now, find the correlations corrected for item overlap msq.overlap <- scoreOverlap(keys,msq[1:75]) f2 <- fa(msq.overlap$cor,2) fa.plot(f2,labels=colnames(msq.overlap$cor),title="2 dimensions of affect, corrected for overlap") if(FALSE) { #extend this solution to EA/TA NA/PA space fe <- fa.extension(cor(msq.scores$scores[,5:12],msq.scores$scores[,1:4]),fcirc) fa.diagram(fcirc,fe=fe,main="Extending the circumplex structure to EA/TA and PA/NA ") #show the 2 dimensional structure f2 <- fa(msq[1:72],2) fa.plot(f2,labels=colnames(msq)[1:72],title="2 dimensions of affect at the item level") #sort them by polar coordinates round(polar(f2),2) }