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 Does anyone know of any (published or unpublished) discussion of this assumption or how deviations from independence may affect the results?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?
robust ANOVA for non-normal dataDear Statalist friends, I am unexperienced with most statistical methods and Stata and I need some …
Is difference in differences appropriate here?Here is the situation: There was an intervention T. I am interested in how this intervention change…
Convert Single String Variable to Many Binary VariablesI have a variable for U.S. states that includes 01, 02, 03, ... , 50, 51, and these are all strings …
just-identified IV with ivlasso and multiple endogenous variablesDear Statalist I would like to estimate an IV regression with a high-dimensional set of controls us…
Help with loopingnHi Everyone, I have pasted below a screenshot of my dataset and of the variables I need to work wit…
Subscribe to:
Post Comments (Atom)
0 Response to Independence assumption in Cross-Classified Multilevel Models?
Post a Comment