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Can nonrandomized experiments yield accurate answers? : a randomized experiment comparing random and nonradom assignments

Shadish, William R.; Clark, M. H.; Steiner, Peter M. - In: Journal of the American Statistical Association : JASA 103 (2008) 484, pp. 1334-1356

Persistent link: https://www.econbiz.de/10003814345

Foundations of program evaluation : theories of practice

Shadish, William R.; Cook, Thomas D.; Leviton, Laura C. - 1991 - 1. print.

Persistent link: https://www.econbiz.de/10004107522

The subjective well-being of mental patients in nursing homes

Shadish, William R.; Orwin, Robert G.; Silber, Bohne G.; … - In: Evaluation and Program Planning 8 (1985) 3, pp. 239-250

Persistent link: https://www.econbiz.de/10005244210

Philosophy of science and the quantitative-qualitative debates: Thirteen common errors

Shadish, William R. - In: Evaluation and Program Planning 18 (1995) 1, pp. 63-75

Persistent link: https://www.econbiz.de/10005244307

The social psychology of science

Shadish, William R. (contributor) - 1994

Persistent link: https://www.econbiz.de/10004177487

Book Reviews - Advocacy and Praxis: A Continuing Discussion - Evaluation for the 21st Century: A Handbook

Chelimsky, Eleanor; Shadish, William R.; Griffith, Martha A. - In: Public productivity & management review 22 (1998) 2, pp. 251

Persistent link: https://www.econbiz.de/10006098384

Rejoinder

Shadish, William R.; Clark, M. H.; Steiner, Peter M. - In: Journal of the American Statistical Association 103 (2008) 484, pp. 1353-1356

Persistent link: https://www.econbiz.de/10004982674

Can Nonrandomized Experiments Yield Accurate Answers? A Randomized Experiment Comparing Random and Nonrandom Assignments

Shadish, William R.; Clark, M. H.; Steiner, Peter M. - In: Journal of the American Statistical Association 103 (2008) 484, pp. 1334-1344

Persistent link: https://www.econbiz.de/10004982689

Guest editor's introduction : The quantitative-qualitative debates: "DeKuhnifying" the conceptual context

Shadish, William R. - In: Evaluation and Program Planning 18 (1995) 1, pp. 47-49

Persistent link: https://www.econbiz.de/10005123422

Propensity Scores

Luellen, Jason K.; Shadish, William R.; Clark, M. H. - In: Evaluation Review 29 (2005) 6, pp. 530-558

Propensity score analysis is a relatively recent statistical innovation that is useful in the analysis of data from quasi-experiments. The goal of propensity score analysis is to balance two non-equivalent groups on observed covariates to get more accurate estimates of the effects of a treatment...

Persistent link: https://www.econbiz.de/10010802305