Here is a possibly stupid question I haven't been able to figure out. When running the measurement invariance command on a one-factor model with a WLSMV estimator and five groups (because all indicators are ordinal), the resultant scaled chi-square difference test table doesn't generate an AIC or BIC value for any of the invariance models. I could obviously use CFI and RMSEA for similar purposes but it would be helpful to have AIC/BIC values. I'm not sure it matters but my code is below:
happy <- 'factor =~ VAR_1 + VAR_2 + VAR_3 + VAR_4 + VAR_5 + VAR_6 + VAR_7'
measurementInvariance(happy, data=master_data, estimator="WLSMV", strict=TRUE, group="grade",
ordered=c("VAR_1", "VAR_2", "VAR_3", "VAR_4", "VAR_5", "VAR_6", "VAR_7"))
Any help or explanation as to what kind of surely basic issue I'm missing here would be gratefully received.