Contemporary thinking about causation in evaluation: A dialogue with tom cook and michael scriven

American Journal of Evaluation

Volumn 31, Issue 1, 2010, Pages 105-117

  Cook, Thomas D ^a   Scriven, Michael ^b   Coryn, Chris L S ^c   Evergreen, Stephanie D H ^c  

^a NORTHWESTERN UNIVERSITY   (United States)

^b CLAREMONT GRADUATE UNIVERSITY   (United States)

^c WESTERN MICHIGAN UNIVERSITY   (United States)

Author keywords

Causal inference; Causation; Methodology; Randomized controlled trials

Indexed keywords

EID: 77949333392     PISSN: 10982140     EISSN: 15570878     Source Type: Journal    
DOI: 10.1177/1098214009354918     Document Type: Article

References (15)

1. Cook, T.D. (1991). Clarifying the warrant for generalized causal inferences in quasi-experimentation. In M. W. McLaughlin & D. C. Phillips (Eds.), Evaluation and education: At quarter century (pp. 115-144). Chicago: National Society for the Study of Education.
2. Cook, T.D., Habib, F., Phillips, M., Settersten, R.A., Shagle, S.C., & Degirmencioglu, S.M. (1999). Comer's school development program in Prince George's County: A theory-based evaluation. American Educational Research Journal, 36, 543-597.
3. Cook, T.D., & Hirschfield, P.J. (2008). Comer's School Development Program in Chicago: Effects on involvement with the juvenile justice system from the late elementary through the high school years. American Educational Research Journal, 45, 38-67.
4. Cook, T.D., Hunt, H.D., & Murphy, R.F. (2000). Comer's School Development Program in Chicago: A theory-based evaluation. American Educational Research Journal, 37, 535-597.
5. Cook, T.D., Shadish, W.R., & Wong, V.C. (2008). Three conditions under which experiments and observational studies produce comparable causal estimates: New findings from within-study comparisons. Journal of Policy Analysis and Management, 27, 724-750.
6. Cook, T.D., & Wong, V.C. (in press). Empirical tests of the validity of the regression discontinuity design. Annales d'Economie et de Statistique.
7. Coryn, C.L.S., Schröter, D.C., & Hanssen, C.E. (2009). Adding a time-series design elementnon-profit program evaluation. American Journal of Evaluation, 30(1), 80-92.
8. Donaldson, S. I., Christie, C. A., & Mark, M. M. (2009). (Eds.). What counts are credible evidence in applied research and evaluation practice? Thousand Oaks, CA: SAGE.
9. Fleming, J.E., Cook, T.D., & Stone, C.A. (2002). Interactive influences of perceived social contexts on the reading achievement of urban middle schoolers with learning disabilities. Learning Disabilities Research & Practice, 17, 47-64.
10. LaLonde, R. (1986). Evaluating the econometric evaluations of training with experimental data. American Economic Review, 76, 604-620.
11. Scriven, M. (1993). Defects of the necessary condition analysis of causation. In E. Sosa & M. Tooley (Eds.), Causation (pp. 56-59). Oxford, NY: Oxford University Press.
12. Scriven, M. (1976). Maximizing the power of causal investigations: The modus operandi method. In G. V. Glass (Ed.), Evaluation studies review annual (Vol. 1, pp. 108-118). Beverly Hills, CA: SAGE.
13. Scriven, M. (2008). A summative evaluation of RCT methodology: & an alternative approach to causal research. Journal of Multidisciplinary Evaluation, 5, 11-24.
14. Shadish, W.R., Cook, T.D., & Campbell, D.T. (2002). Experimental and quasi-experimental designs for generalized causal inference. Boston: Houghton Mifflin.
15. Wong, M., Cook, T.D., & Steiner, P.M. (2009). An evaluation of No Child Left Behind using short interrupted time-series analyses with non-equivalent comparison groups. Unpublished manuscript, Northwestern University at Evanston, Illinois.