Hierarchical Linear Models Using PROC MIXED - Jeremy Albright, Methods Consultants of Ann Arbor

Statistical models for clustered data are now standard in the social sciences, but understanding how to carry out estimation using commercial software is not always straightforward.  This training class discusses hierarchical linear models as a special case of linear mixed models and shows how to use SAS’s PROC MIXED to fit them.  Cross-sectional and longitudinal examples from education research will be used to illustrate SAS syntax, and interpretation will focus on understanding the difference between fixed and random effects.