Quantitative Methods for Policy Research
Increasing rigor and quantification in research are transforming the social sciences and social policy research. Yet social scientists often struggle in isolation to develop solutions to common methodological problems. In response, the Q-Center has drawn together a group of national experts to bridge this gap and improve methodological research and training in policy research through interdisciplinary collaboration.
Find out more about faculty research that englobes data collection for large populations, methodology in social experiments, quasi-experiments, and meta-analysis, in addition to addressing other common methodological problems and solutions.
Working Papers and Publications
Recently published articles and working papers in this program area include:
- Hedges, L., J. Pustejovsky, and W. Shadish. 2013. A standardized mean difference effect size for multiple baseline designs. Journal of Research Synthesis Methods 4(4):324-41.
- Manski, C.F. Communicating uncertainty in official economic statistics, WP-14-08
- Wong, V., P. Steiner, and T.D. Cook. 2013. Analyzing regression-discontinuity designs with multiple assignment variables: A comparative study of four estimation methods. Journal of Educational and Behavioral Statistics 38(2):107-41.
This group of interdisciplinary scholars represents statistics, education and social policy, political science, and other fields. Learn more about them through their bios, research, and publications.