Mplus User's Guide Example 9.30 PreviousNext
Mplus Discussion > Dynamic Structural Equation Modeling >
 Mary M Mitchell posted on Tuesday, August 07, 2018 - 8:32 am
Hi Drs. Muthen,

I have a couple of questions pertaining to DSEM:

1) In the Example 9.30, are you assuming that your outcome has a linear slope (y). I want to look at y on w (where w is a binary covariate: treatment group vs. control group) but I don't want to impose linearity in case the slope is quadratic or cubic, etc.

2) Colleagues have recommended that I use Generalized Linear Mixed Models for my analysis of a continuous outcome and a binary predictor with AR(1). Which model would be an analogue to this method?


Mary Mitchell
 Bengt O. Muthen posted on Tuesday, August 07, 2018 - 11:09 am
1) It sounds like you have repeated measures y and a time-invariant predictor w. Using the two-level approach of DSEM, this means that w is a between-level covariate. The fact that it is binary doesn't matter. And you cannot formulate a quadratic or cubic regression with a binary predictor - it needs to be continuous.

2) Generalized LMM usually refers to a non-continuous (e.g. binary, count) dependent variable but you say your outcome is continuous so I don't see how GLMM can be relevant.
 Mary M Mitchell posted on Tuesday, August 07, 2018 - 5:13 pm
Thank you for the explanations!

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