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| Multigroup analyses with weighted data |
 
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Dear Linda and Bengt,
This forum is amazing - so much valuable information. I was, however, not successful in finding out how to treat the following problem:
moderation analyses in which the moderator is a 4-level categorical variable,
outcome is continuous,
predictor variables continuous and categorical.
major issue: these data are weighted
I have tried using type=mgroup, estimator mlr with weight=smplwght specified but the data were not weighted as could be seen in the output. I also tried using type=mgroup complex but this requires stratification and cluster, which our data don't have. I know I could try mixture if I categorized the outcome, but I don't really want to do that.
In short, do you have any suggestion as to how to tackle a multigroup comparison of a regression with weighted data?
Thanks a lot in advance,
Tina |
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| You can use the WEIGHT option with TYPE=GENERAL and the GROUPING option. TYPE=MGROUP is no longer an option. It sounds like you may be using an old version of Mplus. |
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excellent! this worked! we compared the estimates mplus 4.2 and 5.21 produced and they were slightly different although the exact same syntax was used. can you explain the reason for this?
thanks again,
tina |
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| The default in Version 4.2 was listwise deletion. The default in Verson 5.21 is TYPE=MISSING. They use different information matrices which could account for the differences. If you look at the summary of the analysis, you will see which information matrix is used in each analysis. |
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| that explains a lot of slightly different results i obtained recently with different versions. thanks a lot again, also for making the workshop in berlin recently so much fun! |
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