I am planning to perform a Categorical Principal Component Analysis, I have 14 variables with categorical ordinal data (from a 5 point likert scale) and one variable with categorical nominal data. What optimal scaling level should I use?
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1$\begingroup$ What do you mean "optimal scale"? It may help you to read: Can principal component analysis be applied to datasets containing a mix of continuous and categorical variables? $\endgroup$– gung - Reinstate MonicaCommented Mar 7, 2016 at 17:05
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1$\begingroup$ On this site, there is a number of answers about CatPCA and optimal scaling. Please make a search first. Among others, this thread is important. Here is a few practical recommendations (at least for SPSS). $\endgroup$– ttnphnsCommented Mar 7, 2016 at 17:19
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$\begingroup$ search also this site for multiple correspondence analysis $\endgroup$– kjetil b halvorsen ♦Commented May 21, 2017 at 12:57
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$\begingroup$ Possible dups: stats.stackexchange.com/questions/16331/…, stats.stackexchange.com/questions/5774/…, stats.stackexchange.com/questions/215404/… $\endgroup$– kjetil b halvorsen ♦Commented Jul 20, 2019 at 12:00
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