contribution to the mixed model software is PROC MIXED. However, because mixed models are more complex and more flexible than the general linear model, the potential for confusion and errors is higher. This paper outlines some confusion that may occur when data analysts experienced in the use PROC GLM to analyze data for both the fixedeffects and mixedeffects models use PROC MIXED to