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Experimental and quasi-experimental designs for generalized causal inference

Experimental and quasi-experimental designs for generalized causal inference

Thomas D. Cook, Donald T. Campbell, William R. Shadish · 2001 · 623 pages

CausationExperimentsScience, experimentsCausalityResearch DesignResearch

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About this book

This successor of the original Cook/Campbell Quasi-Experimentation: Design and Analysis Issues for Field Settings represents updates in the field over the last two decades. The book covers four major topics in field experimentation: Theoretical matters: Experimentation, causation, and validity ; Quasi-experimental design: Regression discontinuity designs, interrupted time series designs, quasi-experimental designs that use both pretests and control groups, and other designs ; Randomized experiments: Logic and design issues, and practical problems involving ethics, recruitment, assignment, treatment implementation, and attrition ; Generalized causal inference: A grounded theory of generalized causal inference, along with methods for implementing that theory in single and multiple studies.

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