How does latent class factor analysis compare with traditional factor analysis?
A. The LC factor model assumes that each factor contains 2 or more ordered categories as opposed to traditional factor analysis which assumes that the factors (as well as the variables) are continuous (interval scaled). The variables in LC factor analysis need not be continuous. They may be mixed scale types (nominal, ordinal, continuous, counts, or combinations of these). LC Factor also has a close relationship to cluster analysis. For an introduction to LC factor analysis, and to see how it relates to LC cluster analysis, see Magidson and Vermunt Sociological Methodology 2001. For a comparison with traditional Factor Analysis in datamining see Traditional vs. Latent Class Factor Analysis for Datamining Q. I was looking at the lifestyle data set (tutorial #1) and was trying to run a factor model on all lifestyle indicator variables (from Tennis to Military). I have requested an 8-factor model and it has been running for 30 minutes. Am I doing something wrong? A. A 2-factor model on a
