R Dataset / Package psych / epi.dictionary
On this Picostat.com statistics page, you will find information about the epi.dictionary data set which pertains to Eysenck Personality Inventory (EPI) data for 3570 participants. The epi.dictionary data set is found in the psych R package. Try to load the epi.dictionary data set in R by issuing the following command at the console data("epi.dictionary"). This may load the data into a variable called epi.dictionary. If R says the epi.dictionary data set is not found, you can try installing the package by issuing this command install.packages("psych") and then attempt to reload the data with library("psych") followed by data("epi.dictionary"). Perhaps strangley, if R gives you no output after entering a command, it means the command succeeded. If it succeeded you can see the data by typing epi.dictionary at the command-line which should display the entire dataset.
If you need to download R, you can go to the R project website. You can download a CSV (comma separated values) version of the epi.dictionary R data set. The size of this file is about 3,479 bytes.
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. The data are included here as demonstration of scale construction.
A data frame with 3570 observations on the following 57 variables.
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 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 to examine the relationship between personality, caffeine induced arousal, and cognitive performance.
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.
Rocklin, T. and Revelle, W. (1981). The measurement of extraversion: A comparison of the Eysenck Personality Inventory and the Eysenck Personality Questionnaire. British Journal of Social Psychology, 20(4):279-284.
data(epi) epi.keys <- make.keys(epi,list(E = c(1, 3, -5, 8, 10, 13, -15, 17, -20, 22, 25, 27, -29, -32, -34, -37, 39, -41, 44, 46, 49, -51, 53, 56), N=c(2, 4, 7, 9, 11, 14, 16, 19, 21, 23, 26, 28, 31, 33, 35, 38, 40, 43, 45, 47, 50, 52, 55, 57), L = c(6, -12, -18, 24, -30, 36, -42, -48, -54), I =c(1, 3, -5, 8, 10, 13, 22, 39, -41), S = c(-11, -15, 17, -20, 25, 27, -29, -32, -37, 44, 46, -51, 53))) scores <- scoreItems(epi.keys,epi) N <- epi[abs(epi.keys[,"N"]) >0] E <- epi[abs(epi.keys[,"E"]) >0] fa.lookup(epi.keys[,1:3],epi.dictionary) #show the items and keying information
Dataset imported from https://www.r-project.org.
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