I ran the invariance model with 6 experimental group. While the metric model is slightly worse than the configural model, the scalar suddenly move to another direction with CFI being 1. see the screenshot.
`config <- cfa(model3,
data=MasterDataMay_7Final,
group="Group") `
`metric <- cfa(model3,
data=MasterDataMay_7Final,
group="Group",group.equal="loadings" )`
`Scalar <-cfa(model3,
data=MasterDataMay_7Final,
group="Group",group.equal="loadings","intercepts" )`
Given Scalar is a just identified model, I can go ahead and compare means right?
Confirm no problem with the current coding and that I can move ahead for mean comparison