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Tiffany Wu
Measuring Academic Behaviors at Scale: Developing Longitudinal Measures of “Noncognitive” Skills Using Administrative Data and Examining Predictive Validity
Topics: MethodsTags: Student disciplineAcademic behaviors, as reflected in administrative indicators such as attendance and suspensions, are widely used in education research. However, limited guidance exists on how to measure them longitudinally and at scale. Using longitudinal data from Boston Public Schools students followed from… more →
The Chronic(les) of Absenteeism Measurement: Unpacking the Many Measures of Attendance and Evidence for a Lower Chronic Absenteeism Threshold
Topics: MethodsTags: AbsenteeismThis study investigates how absenteeism can be more rigorously measured as an early warning indicator of future academic risk.
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 for families with low-incomes. Reimbursements for cost-subsidized care are paid to child care providers but are extremely low compared with market rates and actual cost of care. We examine how the 2014 congressional… more →
Leveraging Modern Machine Learning to Improve Early Warning Systems and Reduce Chronic Absenteeism in Early Childhood
Topics: MethodsThis study focuses on improving the predictive power of early warning systems (EWSs) to decrease chronic absenteeism in early childhood. Using a demographically diverse sample of students followed from PreK to third grade in Boston Public Schools (N=6,698), we demonstrate how and why two modern… 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 →