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…

Using data collected as part of the National Survey of Student Engagement (NSSE), this study examines differences between the grades, time spent preparing for class, involvement in co-curricular activities, time spent socializing and overall enjoyment of their college experience of working and non-working students at a mid-sized public university.…