High school is a critical period for science identity development. Teacher influences are important but under-researched. Teachers' growth-mindset practices may help students meet the growing challenges to their ability, achievement, and identity in science and have long-term influences, especially for underrepresented students. We explored U.S.…

Researchers in the field of early adolescence interested in quantifying the environmental influences on a response variable of interest over time would use cluster sampling (i.e., obtaining repeated measures from students nested within classrooms and/or schools) to obtain the needed sample size. The resulting longitudinal data would be nested at…

This article proposes a latent variable regression four-level hierarchical model (LVR-HM4) that uses a fully Bayesian approach. Using multisite multiple-cohort longitudinal data, for example, annual assessment scores over grades for students who are nested within cohorts within schools, the LVR-HM4 attempts to simultaneously model two types of…

While randomized experimental designs are the gold standard in education research concerned with causal inference, non-experimental designs are ubiquitous. For researchers who work with non-experimental data and are no less concerned for causal inference, the major problem is potential omitted variable bias. In this presentation, the authors…

Background/Context: In light of increasingly common, non-traditional pathways to college enrollment and potential importance of post-secondary education for family wellbeing, this article examines maternal college enrollment. I employ a sociological application of rational action theory in which costs of reentry, probability of success, and…

Full-service community schools are designed to increase students, and families' access to comprehensive and coordinated supports, services, and programs such as medical care, food aid, and enrichment activities. Despite widespread support, the research base documenting the efficacy of community schools is still emerging. Analyzing longitudinal…

High-potential students from low-income families are at an academic disadvantage compared with their more affluent peers. To address this issue, researchers have suggested novel approaches to mitigate gaps in student performance, including out-of-school enrichment programs. Longitudinal mixed effects modeling was used to analyze the growth of…

Much of the achievement gap between rich and poor students can be attributed to out-of-school factors, yet few schools have a comprehensive, coordinated system for addressing students' nonacademic needs. Within a group of Catholic schools located in one city, this study examined academic achievement on the Stanford Achievement Test battery in…