Experimental and Quasi-experimental Designs for Generalized Causal Inference
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Experimental and Quasi-experimental Designs for Generalized Causal Inference

By (author) Jr. William R. Shadish , By (author) Thomas D. Cook , By (author) Donald T. Campbell

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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:

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  • Hardback | 656 pages
  • 180.34 x 233.68 x 25.4mm | 884.5g
  • 01 Apr 2003
  • Cengage Learning, Inc
  • HOUGHTON MIFFLIN
  • Boston
  • English
  • Revised
  • 2nd Revised edition
  • 0395615569
  • 9780395615560
  • 57,225

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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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