Experimental and quasi-experimental designs for generalized causal inference

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Houghton Mifflin, 2002 - Education - 623 pages
6 Reviews

This long awaited 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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Review: Experimental and Quasi-experimental Designs for Generalised Causal Inference

User Review  - Kenny Oyama - Goodreads

This should be a must-read for anyone conducting experimental research in the social and business sciences. Read full review

Review: Experimental and Quasi-Experimental Designs for Research

User Review  - Cat - Goodreads

Y Read full review

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Contents

EXPERIMENTS AND GENERALIZED CAUSAL
1
Causation Correlation and Confounds
7
Randomized Experiment
13
Copyright

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About the author (2002)

Cook is professor of sociology, psychology, education, and policy research at Northwestern University.

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