Readings:

• Kontopantelis, E., Doran, T., Springate, D. A., Buchan, I., & Reeves, D. (2015). Regression based quasi-experimental approach when randomisation is not an option: interrupted time series analysis. BMJ, 350, h2750.
• Lee, H., & Munk, T. (2008). Using regression discontinuity design for program evaluation. In Proceedings of the 2008 Joint Statistical Meeting (pp. 3-7). Alexandria, VA: American Statistical Association.
• Stuart, E. A., & Rubin, D. B. (2007). Best Practices in Quasi-Experimental Designs: Matching Methods for Causal Inference. In in Best Practices in Quantitative Social Science, Edited by Jason Osborne. Thousand Oaks, CA: Sage.

Examples:

• Darnell, A. J., Barile, J. P., Weaver, S. R., Harper, C. R., Kuperminc, G. P., & Emshoff, J. G. (2013). Testing effects of community collaboration on rates of low infant birthweight at the county level. American Journal of Community Psychology, 51, 398-406
• Darnell, A. J., & Schuler, M. S. (2015). Quasi-experimental study of functional family therapy effectiveness for juvenile justice aftercare in a racially and ethnically diverse community sample. Children and Youth Services Review, 50, 75-82.
• Ye, Y., & Kaskutas, L. A. (2009). Using propensity scores to adjust for selection bias when assessing the effectiveness of Alcoholics Anonymous in observational studies. Drug and Alcohol Dependence, 104(1-2), 56-64.