Arena posted on Thursday, August 16, 2012 - 9:33 pm
I'm currently analyzing data to examine how classroom characteristics relate to students' standardized test scores. Because students are nested within classrooms, I used CLUSTER to adjust the standard errors within each classroom. However, I also want to employ a school fixed effects model to account for the unobserved characteristics of schools that may bias observed relationships. How can I do this in Mplus?
I have the same question above. Would you please be more specific on the ways in which school dummies could be specified in the model.I have students (n=20,000) nested within schools (n=89). Since I was not interested in estimating group level variations, I had used the "cluster" option to take into account a clustering issue. Now reviewers want me to use fixed effects dummies for schoolto make sure that any variance resulting from the group id could be adequately partialled out, instead of the cluster option. Thank you.
School dummy variables are used as covariates. I would not recommend this in your case with 88 dummy variables. I would instead use TYPE=TWOLEVEL. The results you want would be on the within level. You could have a model of only random intercepts on the between level. See Example 9.1.