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

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

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


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:See more details below

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:

Product Details

ISBN-13:
9780395615560
Publisher:
Cengage Learning
Publication date:
01/02/2001
Edition description:
New Edition
Pages:
656
Sales rank:
176,769
Product dimensions:
6.82(w) x 9.14(h) x 0.84(d)

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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