Does anyone have ideas why when running a CFA in R I'm getting most of my fit statistics to calculate, but AIC and BIC are both NA?
I load lavaan, SEMplot, SEMtools, and haven; load the file (have tried as .sav and as .csv); define the models; then run the analysis. Here's a sample:
Model1Fit <- cfa(model=Model1, data = dataset, orthogonal = FALSE, test = "Satorra-Bentler", std.lv = TRUE) summary(Model1Fit, fit.measures=TRUE) semPaths(Model1Fit)
It also seems to happen without the Satorra-Bentler correction. Everything gets run correctly except this section of output:
Loglikelihood and Information Criteria:
Loglikelihood user model ($H_0$) NA
Loglikelihood unrestricted model ($H_1$) NA
Number of free parameters 27
Akaike (AIC) NA
Bayesian (BIC) NA
Any ideas what's going wrong?