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Experimental and Quasi-Experimental Designs for Generalized Causal Inference
By William R. Shadish, Thomas D. Cook, Donald T. Campbell
Starting from$169.99
About your course materials
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:
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About this product
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:
Table of contents
- 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
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