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Tiffany Wu
Measuring “Noncognitive” Skills at Scale: Building Longitudinal Student Behavior Composites Using Administrative Data
Topics: MethodsTags: Student discipline“Noncognitive” skills, especially student behavior, are critical predictors of academic and life outcomes. However, measuring student behavior at scale remains challenging, particularly for longitudinal research. This study uses a demographically diverse sample of students followed from… more →
Impacts of Oversubscribed Boston Pre-K Programs through Middle School
Christina Weiland, Tiffany Wu, Rebecca Unterman, Anna Shapiro, Shekinah Lightner, Thomas Staines, Annie Taylor.Topics: Student LearningIn this pre-registered study, we explored the impacts of Boston Pre-K on children’s educational trajectories, school progress/engagement, and academic achievement in late elementary and middle school using lotteries for oversubscribed schools in 2007-2011 (N=3,092 students; 24% of all applicants… more →
Policy Impacts of Reimbursement Rate Reform: Evidence from the Child Care and Development Fund
Topics: Policy, Politics, and GovernanceThe Child Care and Development Fund (CCDF) subsidizes child care costs to help low- income families afford care. Reimbursements for cost-subsidized care are paid to child care providers; however, per-child reimbursements are extremely low compared with market rates and actual cost of care. We… more →
Leveraging Modern Machine Learning to Improve Early Warning Systems and Reduce Chronic Absenteeism in Early Childhood
Topics: MethodsChronic absenteeism is a critical issue that has been linked to many adverse student outcomes. The current study focuses on improving a key system already in place in many school districts—early warning systems (EWSs)—in order to decrease chronic absenteeism in students’ earliest schooling years… more →