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Statistical analysis of datasets comprising several levels of hierarchy (e.g., students nested in classes nested in schools or hierarchical forecasting). For questions about mixed models use [mixed-model] tag. For nested random effects, use [nested-data].
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Test score Variable interpretation in Brandsma data (mice package)
In the end I assumed that the test results each have their own maximum number of points and that lpr, apr, lpo and apo give the number of points each student achieved. As far as I understand, we don't …
0
votes
1
answer
40
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Test score Variable interpretation in Brandsma data (mice package)
I am currently working with the Brandsma data of the mice package in R for teaching purposes.
The dataset is from Snijders&Bosker(2012), or rather Brandsma&Knuver(1989) and Knuver&Brandsma(1993), cont …
7
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2
answers
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Should a Hausman test be used to decide between fixed vs. random effects?
I was taught that a Hausman test should be used in multilevel modeling in order to check whether random effects can be used.
However, I have now stumbled over several sources stating that the Hausman …