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 		 	   		  
	[[alternative HTML version deleted]]

