Dear R experts,
I have data from a questionnaire that I would like to factor analyse. It is in
a likert scale form (0-3). I would like to check first for univariate and
multivariate outliers but the most common ways of doing so assume the data is
continuous and normal- neither of which is the case here. I found an article
discussing this (Outlier Detection in Test and Questionnaire Data by Wobbe P.
Zijlstra, L. Andries van der Ark, and Klaas Sijtsma), but I was wondering if I
could get the exact R code on how to implement the outlier detection analyses.
Thank youHelen
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