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Experimental and Quasi-Experimental Designs for Generalized Causal Inference 2nd Edition

William R. Shadish, Thomas D. Cook, Donald T. Campbell

  • Published
  • 656 Pages

Overview

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:

William R. Shadish, The University of Memphis

Thomas D. Cook, Northwestern University

Donald T. Campbell, Lehigh University

1. Experiments and Generalized Causal Inference
2. Statistical Conclusion Validity and Internal Validity
3. Construct Validity and External Validity
4. Quasi-Experimental Designs That Either Lack a Control Group or Lack Pretest Observations on the Outcome
5. Quasi-Experimental Designs That Use Both Control Groups and Pretests
6. Quasi-Experimentation: Interrupted Time Series Designs
7. Regression Discontinuity Designs
8. Randomized Experiments: Rationale, Designs, and Conditions Conducive to Doing Them
9. Practical Problems 1: Ethics, Participant Recruitment, and Random Assignment
10. Practical Problems 2: Treatment Implementation and Attrition
11. Generalized Causal Inference: A Grounded Theory
12. Generalized Causal Inference: Methods for Single Studies
13. Generalized Causal Inference: Methods for Multiple Studies
14. A Critical Assessment of Our Assumptions