Experimental and Quasi-experimental Designs for Generalized Causal Inference

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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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Excellent book. I require the text in a doctoral research design course that I teach. A must read for those conducting human trials.

Contents

EXPERIMENTS AND GENERALIZED CAUSAL
1
Causation Correlation and Confounds
7
Nonexperimental Designs
18
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