Dear everyone,
In cross-classified (multilevel) models, the cross-classified variance components are generally assumed to be independent. Does anyone know of any (published or unpublished) discussion of this assumption or how deviations from independence may affect the results?
Best regards,
Are Skeie Hermansen
University of Oslo
Related Posts with Independence assumption in Cross-Classified Multilevel Models?
Problems with asdoc, add more than one model in a tableHey statalists, I tried to make a table like the one at the picture.That are the results of the lo…
Collinearity between two country variables, one nominal (country name) and the other metric (globalisation level)Hi I experience heavy (perfect) multicollinearity between a control variable and my main independen…
Multiple imputations and descriptive statisticsSo, I just found out that using tab when you have multiple imputations is a big no no. This was a bi…
F stadisticHello, I have the following problem: Number of obs = 559 F(5, 552) = . Prob > F = . R-squared = …
Variable not found r(111) when using midasHi, I am using midas to create a forest plot in Stata/MP 13.1 with the following command: midas TP …
Subscribe to:
Post Comments (Atom)
0 Response to Independence assumption in Cross-Classified Multilevel Models?
Post a Comment