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2012 Jun 04
0
Negative variance with lavaan in a multigroup analysis.
...versity, Macdonald campus Below is my code and output (my apologies, this is a pretty lengthy output): Riskmodel2_cfa <- '# Latent variable ????? ????? SySt =~ Activity+Aggression+Voracity # Residuals ??????? Boldness~~Boldness' fit.riskmodel2_multi_Ad_cfa <- cfa(Riskmodel2_cfa, data=Ad_scale, std.lv=T,std.ov=T, ???????????????????????????????? se= "boot",test="bootstrap", ???????????????????????????????? bootstrap=5000L,group="Site") summary(fit.riskmodel2_multi_Ad_cfa,standardized=T, rsquare=T) lavaan (0.4-14) converged normally after 50 iterations ? Num...