Multilevel modeling provides several advantages over traditional ordinary least squares regression analysis; however, reporting results to stakeholders can be challenging. This article suggests some strategies for presenting complex, multilevel data and statistical results to institutional and higher education decision makers. The article is…

This research evaluated the usefulness of three approaches for predicting college grades: (1) traditional regression models; (2) high school effects models; and (3) hierarchical linear models. Results of an analysis of the records of 8,764 freshmen at a major research university revealed that both the high school effects model and the hierarchical…

Two competing models of the relationship between college graduates' perceived learning and satisfaction with the college experience are examined, one representing a true effect and one treating the relationship as an artifact of the halo effect. It is recommended that researchers be cautious in interpreting self-reports of learning and…