Quantitative Methods for Policy Research
Under its research program on Quantitative Methods, the Statistics for Evidence-Based Policy and Practice, or STEPP, Center seeks to serve the practitioners and policymakers by developing and promoting state-of-the-art methods for researchers, especially in education and the applied social sciences. It seeks to generate strong evidence on research designs, synthesize and interpret results of multiple studies, and translate findings to inform policy and practice. The STEPP Center was founded in 2019 and evolved from IPR’s Q-Center.
A Message From Larry Hedges, Program Chair and STEPP Co-Director
Working Papers
Recently published articles and working papers in this program area include:
Charles F. Manski. 2021. Probabilistic Prediction for Binary Treatment Choice: With Focus on Personalized Medicine (WP-21-46).
James Druckman, Robin Bayes, and Alauna Safarpour. 2021. Studying Science Inequities: How to Use Surveys to Study Diverse Populations (WP-21-39).
Seema Jayachandran, Monica Biradavolu, and Jan Cooper. 2021. Using Machine Learning and Qualitative Interviews to Design a Five-Question Women's Agency Index (WP-21-23).
Faculty Experts
This collaborative group of interdisciplinary scholars stems from statistics, economics, education, political science, and other social science fields.
Events
There are no upcoming events at this time.