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. 2011. Effect sizes in three-level cluster-randomized experiments. Journal of Educational and Behavioral Statistics 36(3): 346-80.
- Steiner, P., T. D. Cook, and W. Shadish. 2011. On the importance of reliable covariate measurement in selection bias adjustments using propensity scores. Journal of Educational and Behavioral Statistics 36(2): 213-36.
- Spencer, B. 2012. When do latent class models overstate accuracy for diagnostic and other classifiers in the absence of a gold standard? Biometrics 68(2): 559-66.
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.
Tools and Data
Find resources and tools for methodological research.