Confirmatory Factor Analysis • Confirmatory factor analysis (CFA) may be used to confirm that the indicators sort themselves into factors corresponding to how the researcher has linked the indicators to the latent variables. • Confirmatory factor analysis plays an important role in structural equation modeling. Mixture factor analysis for approximating a non-normally distributed continuous latent factor with continuous and dichotomous observed variables. Multivariate Behavioral Research , 47:276-313. Explanation of Mplus program for Mixture Factor Analysis , Mplus .out file for Mixture Factor Model 4class result in Table 6 , Data for Numerical Example ...

Factor analysis Simulate categorical data based on continuous variables First, let’s simulate 200 observations from 6 variables, coming from 2 orthogonal factors. I’ll take a couple of intermediate steps and start with multivariate normal continuous data that I later dichotomize. Jun 02, 2009 · Stefan, Karl Joreskog and Dag Sorbom analyzed the problem back in the 1980s and found that you could use polyserial and polychoric correlations for a factor analysis of dichotomous or ordinal variables. If the ordinal variables have at least 15 levels they can be treated as continuous.

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