Eysenck Personality Inventory (EPI) data for 3570 participants
The EPI is and has been a very frequently administered personality test with 57 measuring two broad dimensions, Extraversion-Introversion and Stability-Neuroticism, with an additional Lie scale. Developed by Eysenck and Eysenck, 1964. Eventually replaced with the EPQ which measures three broad dimensions. This data set represents 3570 observations collected in the early 1990s at the Personality, Motivation and Cognition lab at Northwestern. An additional data set (epiR) has test and retest information for 474 participants. The data are included here as demonstration of scale construction and test-retest reliability.
data(epi) data(epi.dictionary) data(epiR)
A data frame with 3570 observations on the following 57 variables.
id
The identification number within the study
time
First (group testing) or 2nd time (before a lab experiment) for the epiR data set.
study
Four lab based studies and their pretest data
V1
a numeric vector
V2
a numeric vector
V3
a numeric vector
V4
a numeric vector
V5
a numeric vector
V6
a numeric vector
V7
a numeric vector
V8
a numeric vector
V9
a numeric vector
V10
a numeric vector
V11
a numeric vector
V12
a numeric vector
V13
a numeric vector
V14
a numeric vector
V15
a numeric vector
V16
a numeric vector
V17
a numeric vector
V18
a numeric vector
V19
a numeric vector
V20
a numeric vector
V21
a numeric vector
V22
a numeric vector
V23
a numeric vector
V24
a numeric vector
V25
a numeric vector
V26
a numeric vector
V27
a numeric vector
V28
a numeric vector
V29
a numeric vector
V30
a numeric vector
V31
a numeric vector
V32
a numeric vector
V33
a numeric vector
V34
a numeric vector
V35
a numeric vector
V36
a numeric vector
V37
a numeric vector
V38
a numeric vector
V39
a numeric vector
V40
a numeric vector
V41
a numeric vector
V42
a numeric vector
V43
a numeric vector
V44
a numeric vector
V45
a numeric vector
V46
a numeric vector
V47
a numeric vector
V48
a numeric vector
V49
a numeric vector
V50
a numeric vector
V51
a numeric vector
V52
a numeric vector
V53
a numeric vector
V54
a numeric vector
V55
a numeric vector
V56
a numeric vector
V57
a numeric vector
The original data were collected in a group testing framework for screening participants for subsequent studies. The participants were enrolled in an introductory psychology class between Fall, 1991 and Spring, 1995.
The actual items may be found in the epi.dictionary
.
The structure of the E scale has been shown by Rocklin and Revelle (1981) to have two subcomponents, Impulsivity and Sociability. These were subsequently used by Revelle, Humphreys, Simon and Gilliland (1980) to examine the relationship between personality, caffeine induced arousal, and cognitive performance.
The epiR data include the original group testing data and matched data for 474 participants collected several weeks later. This is useful for showing that internal consistency estimates (e.g. alpha
or omega
) can be low even though the test is stable across time. For more demonstrations of the distinction between immediate internal consistency and delayed test-retest reliability see the msqR
and sai
data sets and testRetest
.
Data from the PMC laboratory at Northwestern.
Eysenck, H.J. and Eysenck, S. B.G. (1968). Manual for the Eysenck Personality Inventory.Educational and Industrial Testing Service, San Diego, CA.
Revelle, W. and Humphreys, M. S. and Simon, L. and Gilliland, K. (1980) Interactive effect of personality, time of day, and caffeine: A test of the arousal model, Journal of Experimental Psychology General, 109, 1, 1-31,
data(epi) epi.keys <- list(E = c("V1", "V3", "V8", "V10", "V13", "V17", "V22", "V25", "V27", "V39", "V44", "V46", "V49", "V53", "V56", "-V5", "-V15", "-V20", "-V29", "-V32", "-V34","-V37", "-V41", "-V51"), N = c( "V2", "V4", "V7", "V9", "V11", "V14", "V16", "V19", "V21", "V23", "V26", "V28", "V31", "V33", "V35", "V38", "V40","V43", "V45", "V47", "V50", "V52","V55", "V57"), L = c("V6", "V24", "V36", "-V12", "-V18", "-V30", "-V42", "-V48", "-V54"), Imp = c( "V1", "V3", "V8", "V10", "V13", "V22", "V39", "-V5", "-V41"), Soc = c( "V17", "V25", "V27", "V44", "V46", "V53", "-V11", "-V15", "-V20", "-V29", "-V32", "-V37", "-V51") ) scores <- psych::scoreItems(epi.keys,epi) psych::keys.lookup(epi.keys[1:3],epi.dictionary) #show the items and keying information #a variety of demonstrations (not run) of test retest reliability versus alpha versus omega E <- psych::selectFromKeys(epi.keys$E) #look at the testRetest help file for more examples
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