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
Recently published articles and working papers in this program area include:
Pamela Giustinelli, Charles F. Manski, and Francesca Molinari. 2019. Precise or Imprecise Probabilities? Evidence From Survey Response on Late-Onset Dementia (WP-19-21).
Charles F. Manski. 2019. Meta-Analysis for Medical Decisions (WP-19-05).
Adam J. Berinksy, James N. Druckman, Teppei Yamamoto. 2019. Why Replications Do Not Fix the Reproducibility Crisis: A Model and Evidence from a Large-Scale Vignette Experiment (WP-19-04).