

Binary level1 independent variables 

Message/Author 


Hi, I am sorry if this question has been answered somewhere else. I am wondering about how Mplus deals with binary IVs on level 1 of a multilevel model. When treating these IVs as having both between (level 2) and within (level 1) variance, does the factorization discussed on pages 2423 of the user's guide (version 6) still apply? How does this address the dependence between the mean and variance of a binary variable? Or, should binary level1 IVs be coded as two variables, a cluster mean, specified as between, and the original variable, specified as within? Here I am not clear how specifying the original variable as within would "deal with" its cluster level variation. Can you clarify? Also, can you please provide a citation that outlines how Mplus deals with this topic. Thank you 


Example 9.1 discusses the two approaches for a covariate. 


I have read through example 9.1 but I am not sure how this relates to binary covariates. Can you please be more specific? 


You are correct. For a binary covariate, you should put it on the WITHIN list for use on within and create a cluster variable for between. You can do this using the CLUSTER_MEAN option of the DEFINE command. 

Back to top 

