In 2018, a resurgence of youth activism burst forth calling for widespread climate action. The contemporary youth climate movement is a cogent case to unpack how political participation of youth is shaped by schools. In this study we use administrative data from public schools in New York City (n=1,313) to examine two measures of youth…

Reading self-concept plays a significant role in academic achievement. Considering increasing numbers of English learners (ELs) in the United States, there is an urgent need to investigate self-perceptions of ELs in comparison to those of native English speakers (NES). We applied Elastic Net analysis (ENET), a machine learning approach, to PISA…

This paper will demonstrate how we used state-level longitudinal data to model reading growth trajectories. Using data from large scale assessments that were vertically linked across grades in Hawaii, we utilized a multilevel regression framework to develop growth models to study students' reading performance trajectories during their elementary…

Self-regulation is increasingly considered as an important factor for child development. The present, nine-year, longitudinal study (N = 782) examines two components of self-regulation as predictors of later disciplinary status, anti-social involvement, and experiences with victimization. The teacher rating of self-regulation was identified as a…

This study models graduation rates at 4-year broad access institutions (BAIs). We examine the student body, structural-demographic, and financial characteristics that best predict 6-year graduation rates. A Bayesian model averaging approach is utilized to account for uncertainty in variable selection in modeling graduation rates. Evidence suggests…

Students, parents, and employers, increasingly expect higher education institutions to prepare students for careers and workforce needs. Given the increasing diversification of our society and workforce, the ability to work across difference is more imperative than ever. This paper examines the factors that predict the development of students'…

Two previous studies indicated that students at evangelical institutions report the highest levels of religious struggle in comparison to their peers at other institutions. However, patterns and predictors of religious struggle for students attending evangelical institutions have not been thoroughly explored. This study fills that gap in the…

We explore possibilities for placing community college students in math using non-cognitive measures, such as indicators of motivation or students' educational plans. First, we use supplemental administrative data gathered during routine placement testing in a large urban community college district in California to conduct predictive exercises…