Using state achievement data that are openly accessible, this paper demonstrates the application of hierarchical linear modeling within the context of career technical education research. Three prominent approaches to analyzing clustered data (i.e., modeling aggregated data, modeling disaggregated data, modeling hierarchical data) are discussed…

Prior research has documented that classroom-level variables have a significant effect on student outcomes; however, previous findings have typically focused on average student outcomes and have only recently begun to use hierarchical linear modeling techniques. The present study aimed to investigate the effects of classroom-level variables on the…

Extant research has highlighted the importance of multiple characteristics of housing but has not comprehensively assessed a broad range of housing characteristics and their relative contributions to children's well-being. Using a representative, longitudinal sample of low-income children and adolescents from low-income urban neighborhoods (N =…