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Mplus Discussion > Growth Modeling of Longitudinal Data >
 Simon Coulombe posted on Wednesday, September 26, 2018 - 5:09 am
I conducted a cross-lagged path analysis in Mplus

1. A reviewer is saying that, when testing a model without latent variables (path analysis), fit indices are about useless. What do you think? Is it supported by research?

2. Also, we wanted to control for the effects of demographics variables. We included pathways between the demographics and T1 variables, but the reviewers says we should have included the links from demographics to T2 variables instead. What do you think?

Thank you

 Bengt O. Muthen posted on Wednesday, September 26, 2018 - 6:29 pm
1. You can have an over-identified model (left-out paths) also without latent variables so fit indices can be useful here too.

2. I would let the demographic variables influence both T1 and T2 variables.
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