Thank you for the video. I saw you just included 1 variable at 2 time points. My question is that like cross-lagged model, we generally have variabe A and B in Time 1,2 ,3 for example. Should we put all the variables at 3 time points together in the CFA to test Configural Metric Scalar invariance rather than test the A and B one by one?
Great video! Just FYI, this is for mplus 8.9 not 8.8. I tried doing it on 8.8 but it didn't work then went to the website and saw it works for 8.9. Got my update to 8.9 and it did work.
Thanks for this video! The scalar model fits my data (Time 1 and Time 2) well. I now want to use the factor scores to run some other models. How do you save the scores? Thanks @LlewellynVanZyl
@@LlewellynVanZyl Thanks for the reply. That's what I did, but it does not save the factor scores. I only saved the information that was present for each item.
You just take compare the new model against the baseline model. So if CFA for Model 1 is 0,95 and for Model 2 is 0.97 then the difference between the models is 0.03. Same with TLI and SRMR. The only thing you want to check extra for RMSEA is if its still non-significant and that the CI value doesnt include zero for the alternative model.
Thank you for the video. I saw you just included 1 variable at 2 time points. My question is that like cross-lagged model, we generally have variabe A and B in Time 1,2 ,3 for example. Should we put all the variables at 3 time points together in the CFA to test Configural Metric Scalar invariance rather than test the A and B one by one?
Great video! Just FYI, this is for mplus 8.9 not 8.8. I tried doing it on 8.8 but it didn't work then went to the website and saw it works for 8.9. Got my update to 8.9 and it did work.
Thanks for this video! The scalar model fits my data (Time 1 and Time 2) well. I now want to use the factor scores to run some other models. How do you save the scores? Thanks @LlewellynVanZyl
You can just use the normal FSCORES SAVE command like you would usually do. Just add it before the OUTPUT line
@@LlewellynVanZyl Thanks for the reply. That's what I did, but it does not save the factor scores. I only saved the information that was present for each item.
Hi, how did you calculate the differences among, CFI, TLI, RMSEA, and SRMR?
You just take compare the new model against the baseline model. So if CFA for Model 1 is 0,95 and for Model 2 is 0.97 then the difference between the models is 0.03. Same with TLI and SRMR. The only thing you want to check extra for RMSEA is if its still non-significant and that the CI value doesnt include zero for the alternative model.
@@LlewellynVanZyl Many thanks!!!