Interpreting Coeff from Categorical P... PreviousNext
Mplus Discussion > Multilevel Data/Complex Sample >
 Aidan G. Wright posted on Tuesday, June 16, 2015 - 10:21 am
I have a basic multilevel path analysis with a binary predictor of a continuous outcome. I would like to use the latent decomposition of the predictor (i.e., not declare them as within) into the within and between portions of the variance.

However, when opting for this approach, it is not entirely clear to me what the scale of the predictor now is, and by extension how to interpret the coefficients.

Is it still binary? So, regression coefficients would be interpreted as the difference between those coded 0 and those coded as 1. Or has the scale changed?

Is this the same at the within and between levels of analysis?

Finally, which is the appropriate standardized solution to request in this instance?

Many thanks in advance for your help.
 Tihomir Asparouhov posted on Tuesday, June 16, 2015 - 3:52 pm
I would recommend that you use estimator=wlsmv. The model is described in

I would recommend the model statement given in Mplus user's guide page 262

Each variable is decomposed as [cluster effect] and [individual variation] and those are used for the regressions on the between and within level. There is no binary predictor. The predictors are based on the underlying continuous latent variable that is dicotomized.

You might also find this paper useful

The standardized solutions that Mplus computes are described in
and are computed on each level separately. If you are unsure how to use and interpret the standardization, consider standardizing your variables prior to the Mplus analysis.
Back to top
Add Your Message Here
Username: Posting Information:
This is a private posting area. Only registered users and moderators may post messages here.
Options: Enable HTML code in message
Automatically activate URLs in message