Hello,
It has been found that SEM analysis using polychoric correlations + maximum likelihood estimator produces incorrect test statistics and standard errors (e.g., Flora, D. B., & Curran, P. J. (2004). An Empirical Evaluation of Alternative Methods of Estimation for Confirmatory Factor Analysis With Ordinal Data. Psychological Methods, 9(4), 466-491). Standard errors can be dealt with by using bootstrap estimations. But, I was wondering how the fit indexes in the SEM package were estimated when the observed variables are categorical (ordinal or/and binary) and when one is using polychoric correlation (hetcor in polycor package) in combination with ML. Does SEM use the Satorra-Bentler rescaled Chi-square for instance? I look in previous posts but couldn't find what i am looking for (hope i looked well enough!). Cheers, Dorothee -- View this message in context: http://www.nabble.com/Fit-indexes-in-SEM-with-categorical-data-%2B-ML-estimation-tp21782611p21782611.html Sent from the R help mailing list archive at Nabble.com. ______________________________________________ [email protected] mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.
