

Mplus User's Guide Example 9.30 

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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? Thanks, Mary Mitchell 


1) It sounds like you have repeated measures y and a timeinvariant predictor w. Using the twolevel approach of DSEM, this means that w is a betweenlevel 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 noncontinuous (e.g. binary, count) dependent variable but you say your outcome is continuous so I don't see how GLMM can be relevant. 


Thank you for the explanations! Mary 

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