Purpose: In an era of unprecedented student measurement and emphasis on data-driven educational decision making, the full potential for using data to target resources to students has yet to be realized. This study explores the utility of machine-learning techniques with large-scale administrative data to identify student dropout risk. Research…

The current study examines 3 alternative conceptual models of the directional associations between parent involvement in schooling (homework assistance, home-school conferencing, school-based support) and child adjustment (academic and social competence, aggressive behaviors). The parent socialization model tests the hypothesis that parent…