Dichotomous and ordinal predictors PreviousNext
Mplus Discussion > Categorical Data Modeling >
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 Max Nachbauer posted on Wednesday, May 04, 2016 - 8:15 am
Dear Mr. and Mrs. Muthén

I am running a multilevel model, more precisely an intercept-and-slope-as-outcome-model (TYPE = TWOLEVEL RANDOM). The predictors on level two are treated as manifest variables. Some of the predictors are continuous, some are ordinal, some are dichotomous. For the ordinal and dichotomous predictors, I am not sure, if I specifiy the model correctly.

Ordinal predictors: Can I integrate these predictors just normally OR do I have to specify the ordinal scale somehow OR do I have to create dummy variables?

Dichotomous predictors: Can I integrate these predictors just normally OR do I have to specify the dichotomous scale somehow?

Thank you in advance!
 Linda K. Muthen posted on Wednesday, May 04, 2016 - 9:00 am
In regression, predictors can be binary or ordinal. In both cases, they are treated as continuous. You don't need to do anything about their scales.
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