Hi,
I wonder if there exists some kind of thumb-rule for finding which level-1 predictors should be allowed to have heterogeneity in the random part. In the book "Developing multilevel models for analyzing contextuality, heterogeneity and change using MLwiN3" on page 78-79 it only says that increasing of standard error show that something is misspecified. 
Thank you for the help.
			
			
									
						
										
						Heteroscedasticity
Re: Heteroscedasticity
Hi Rina,
Presumably you can do a likelihood ratio test between the models with and without heterogeneity and keep those predictors that make a significant difference in the random part?
Best wishes,
Bill.
			
			
									
						
										
						Presumably you can do a likelihood ratio test between the models with and without heterogeneity and keep those predictors that make a significant difference in the random part?
Best wishes,
Bill.
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				TinaNamdev
 - Posts: 1
 - Joined: Tue Dec 04, 2018 5:15 am
 
Re: Heteroscedasticity
I wonder if there exists some kind of thumb-rule for finding which level-1 predictors should be allowed to have heterogeneity in the random part