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 Meredith Wronowski posted on Monday, October 30, 2017 - 10:16 am
I am conducting multilevel analysis using repeated cross-sectional data where I have set up each cross-section year as a separate group in a multiple group multilevel analysis where students are clustered within schools. What is your guidance on comparing the groups? Is there a useful way of comparing them using the default output of type=twolevel, or is there a better way of comparing the groups using Model Constraint language or post hoc tests?
 Bengt O. Muthen posted on Monday, October 30, 2017 - 4:21 pm
Use Model Constraint - unless you have a CFA-type measurement part of the model in which case you can check config-metric-scalar invariance over the groups automatically.
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