Alternatives to randomized experiments

Current Directions in Psychological Science

Volumn 18, Issue 5, 2009, Pages 299-304

  West, Stephen G ^a  

^a ARIZONA STATE UNIVERSITY   (United States)

Author keywords

Causal inference; Quasi experiment; Randomized experiment

Indexed keywords

EID: 74849112429     PISSN: 09637214     EISSN: 14678721     Source Type: Journal    
DOI: 10.1111/j.1467-8721.2009.01656.x     Document Type: Article

References (23)

1. Imbens, G., & Rubin, D. (in press). (See References). The most complete and advanced exposition of Rubin's potential outcomes perspective and its application to various designs.
2. Shadish, W.R., & Cook, T.D. (2009). The renaissance of field experimentation in evaluating interventions. Annual Review of Psychology, 60, 607-629. An up-to-date review of recent developments in experimental and quasi-experimental designs.
3. Shadish, W.R., Cook, T.D., & Campbell, D.T. (2002). (See References). A good general reference with the most complete presentation of Campbell's perspective and its application to various designs.
4. West, S.G., Biesanz, J.C., & Pitts, S.C. (2000). Causal inference and generalization in field settings: Experimental and quasi-experimental designs. In H.T. Reis & C.M. Judd (Eds.), Handbook of research methods in social and personality psychology (pp. 40-84). New York: Cambridge University Press. A chapter applying Campbell's and Rubin's perspectives to common experimental and quasi-experimental designs.
5. West, S.G., & Thoemmes, F. (in press). (See References). A thorough comparison of Campbell's and Rubin's perspectives on causal inference.
6. Baker, S.G. (1998). Analysis of survival data from a randomized trial with all-or-none compliance: Estimating the cost effectiveness of a cancer screening program. Journal of the American Statistical Association, 93, 929 934.
7. Cook, T.D. Campbell, D.T. (1979). Quasi-experimentation: Design and analysis issues for field settings. Chicago : Rand McNally.
8. Cook, T.D., Shadish, W.R. Wong, V.C. (2008). Three conditions under which experiments and observational studies produce comparable causal effects: New findings from within-study comparisons. Journal of Policy Analysis and Management, 27, 724 750.
9. Hernán, M.A., Alonso, A., Logan, R., Grodstein, F., Michels, K.B., Willett, W.C., et al 2008). Observational studies analyzed like randomized experiments: An application to postmenopausal hormone therapy and coronary heart disease (with discussion). Epidemiology, 19, 766 792.
10. Holland, P.W. (1986). Statistics and causal inference (with discussion). Journal of the American Statistical Association, 81, 945 970.
11. Imbens, G. Rubin, D. (in press). Causal inference: Statistical methods for estimating causal effects in biomedical, social, and behavioral sciences. New York : Cambridge University Press.
12. Khuder, S.A., Milz, S., Jordan, T., Price, J., Silvestri, K. Butler, P. (2007). The impact of a smoking ban on hospital admissions for coronary heart disease. Preventive Medicine, 45, 33 38.
13. Mark, M.M. Mellor, S. (1991). Effect of self-relevance of an event on hindsight bias: The foreseeability of a layoff. Journal of Applied Psychology, 76, 569 577.
14. Reynolds, K.D. West, S.G. (1987). A multiplist strategy for strengthening nonequivalent control group designs. Evaluation Review, 11, 691 714.
15. Rosenbaum, P.R. Rubin, D.B. (1983). The central role of the propensity score in observational studies for causal effects. Biometrika, 70, 41 55.
16. Rubin, D.B. (2005). Causal inference using potential outcomes: Design, modeling, decisions. Journal of the American Statistical Association, 100, 322 331.
17. Schafer, J.L. Graham, J.W. (2002). Missing data: Our view of the state of the art. Psychological Methods, 7, 147 177.
18. Shadish, W.R., Clark, M.H. Streiner, P.M. (2008). Can nonrandomized experiments yield accurate answers? A randomized experiment comparing random and nonrandom assignments (with commentary). Journal of the American Statistical Association, 103, 1334 1356.
19. Shadish, W.R, Cook, T.D. Campbell, D.T. (2002). Experimental and quasi-experimental designs for generalized causal inference. Boston : Houghton Mifflin.
20. Thoemmes, F., West, S.G. Hill, E. (2009, May). Propensity score matching in a meta-analysis comparing randomized and non-randomized studies. Paper presented at the Atlantic Causal Modeling Conference, Philadelphia.
21. West, S.G. Sagarin, B.J. (2000). Subject selection and loss in randomized experiments. In L. Bickman (Ed.), Contributions to research design: Donald Campbell's legacy (Vol. 2, pp. 117 154). Thousand Oaks, CA : Sage.
22. West, S.G. Thoemmes, F. (in press). Campbell's and Rubin's perspectives on causal inference. Psychological Methods.
23. Wu, W., West, S.G. Hughes, J.N. (2008). Effect of retention in first grade on children's achievement trajectories over four years: A piecewise growth analysis using propensity score matching. Journal of Educational Psychology, 100, 727 740.