Hierarchical linear models (HLM) solve the problems associated with the unit of analysis problem such as misestimated standard errors, heterogeneity of regression and aggregation bias by modeling all levels of interest simultaneously. Hierarchical linear modeling resolves the problem of misestimated standard errors by incorporating a unique random…

To compare college and university student engagement in two countries with different responses to global forces, Canada and the United States (US), a series of hierarchical linear regression (HLM) models were developed to analyse data from the 2006 administration of the National Survey of Student Engagement (NSSE). Overall, students in the U.S.…

Since 2000, the "Measuring Up" report cards have evaluated the progress of the nation and individual states in providing Americans with education and training beyond high school through the bachelor's degree. The purpose of the series is to assist the nation and the states in improving higher education opportunity and effectiveness.…