I try to show scalar invariance across times (Pre-/Posttest) in one group. I have two factors and 4 item-parcels per factor.
The configural and metric models are ok. Unfortunately there is a problem with the scalar invariance. The model fit seems ok, but the intercepts look really strange.
I fixed the first factor loading to one (the others are free). I fixed also the first intercepts of the fixed loading items to zero. The problem is that the intercepts in the scalar invariance output are really different to the intercepts in the metric invariance output.
Hi, Dr. Muthen! When assessing indices during scalar invariance testing (for which intercepts are constrained), is it useful to attend to indices related to latent means? I guess the same question goes for other invariance tests - should one only attend to indices for imposed constraints, or is there reason that some constraints might affect other estimates?