if (!require(haven)){
install.packages("haven", dependencies = TRUE)
require(haven)
}Loading required package: haven
if (!require(haven)){
install.packages("haven", dependencies = TRUE)
require(haven)
}Loading required package: haven
if (!require(psych)){
install.packages("psych", dependencies = TRUE)
require(psych)
}Loading required package: psych
Warning in library(package, lib.loc = lib.loc, character.only = TRUE,
logical.return = TRUE, : there is no package called 'psych'
Installing package into '/cloud/lib/x86_64-pc-linux-gnu-library/4.4'
(as 'lib' is unspecified)
Warning: dependencies 'graph', 'Rgraphviz' are not available
also installing the dependencies 'R.oo', 'R.methodsS3', 'rtf', 'pbivnorm', 'numDeriv', 'quadprog', 'minqa', 'nloptr', 'RcppEigen', 'mnormt', 'GPArotation', 'psychTools', 'lavaan', 'lme4', 'Rcsdp'
Loading required package: psych
if (!require(summarytools)){
install.packages("summarytools", dependencies = TRUE)
require(summarytools)
}Loading required package: summarytools
Warning in fun(libname, pkgname): couldn't connect to display ":0"
system might not have X11 capabilities; in case of errors when using dfSummary(), set st_options(use.x11 = FALSE)
dataset <- read_sav ("https://osf.io/kd4ej/download")#create dataframe with only relevant variables to work with
Extraversion <- data.frame (dataset$FFM_1, dataset$FFM_6, dataset$FFM_11, dataset$FFM_16, dataset$FFM_21, dataset$FFM_26, dataset$FFM_31, dataset$FFM_36)
#create list of 'keys'. The numbers just refer to the order of the question in the data.frame() you just made. The most important thing is to mark the questions that should be reversed scored with a '-'.
Extraversion.keys <- make.keys(Extraversion, list(Extraversion=c(1,-2,3,4,-5,6,-7,8)))
#score the scale
Extraversion.scales <- scoreItems (Extraversion.keys, Extraversion)
#save the scores
Extraversion.scores <- Extraversion.scales$scores
#save the scores back in 'dataset'
dataset$Extraversion <- Extraversion.scores[,]
#print the cronbach alpha
Extraversion.scales$alpha Extraversion
alpha 0.8141661