Samling weights and categorical data PreviousNext
Mplus Discussion > Structural Equation Modeling >
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 Markus Riek posted on Tuesday, October 01, 2013 - 4:14 am
Dear Mplus community,

Iíd like to know whether Mplus is able to perform the following analysis before purchase it. After reading the package descriptions on the website I think it should be, but my case combines multiple problems, so finally Iím not completely sure.

The case: I have a big sample (n > 15.000) of complex survey data (with sampling weights per case) and missing values.
I want to perform a single level SEM analysis for whole sample. Four Latent Variables based on ordinal indicators (Likert-scales, mostly non-normal distributed) and one dependent Ďlatentí variable based on a binary indicator should be analyzed.

The most important thing is the simultaneous inclusion of the sampling weights and the use of a suitable estimation method for categorical data. The handling of the missing values is a nice to have, as I already did work on that manually and can also use a sample without missing values.

Thanks in advance,
Markus
 Linda K. Muthen posted on Tuesday, October 01, 2013 - 6:06 am
This can all be done in Mplus. Please note that categorical data methdology can handle Likert scale variables with floor or ceiling effects.
 Markus Riek posted on Tuesday, October 01, 2013 - 7:47 am
Great, thanks for your fast reply Linda.
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