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Experimental and Quasi-Experimental Designs for Generalized Causal Inference

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

ISBN13: 978-0395615560

Cover of Experimental and Quasi-Experimental Designs for Generalized Causal Inference 2ND 02 (ISBN 978-0395615560)
ISBN13: 978-0395615560
ISBN10: 0395615569
Cover type: Paperback
Edition/Copyright: 2ND 02
Publisher: Houghton Mifflin Harcourt
Published: 2002
International: No

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Experimental and Quasi-Experimental Designs for Generalized Causal Inference - 2ND 02 edition

ISBN13: 978-0395615560

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

ISBN13: 978-0395615560
ISBN10: 0395615569
Cover type: Paperback
Edition/Copyright: 2ND 02
Publisher: Houghton Mifflin Harcourt

Published: 2002
International: No
Summary

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.This edition places a new emphasis on the generalization of causal connections and design elements rather than designs, with extensive attention given to methods for studying external validity. The authors pay specific attention to describing how testing casual propositions can be improved in specific research projects and outline ways to improve generalizations about them through field experimentation.

Instead of focusing on the statistical analysis of data, the text considers these details in brief paragraphs or chapter appendices, using a conceptual focus and leaving most equations in footnotes. In addition, three chapters are devoted to the logic and design of randomized experiments, and the practical problems and solutions in their implementation.

  • Key terms are bolded within the text and defined in a glossary.
  • The text presents minor changes to Campbell's general conceptual scheme--validity typology.

Author Bio

Shadish, William R. : University of Memphis


Cook, Thomas D. : Northwestern University


Campbell, Donald T. :

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-Experimentation: 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 I: Ethics, Participant Recruitment, and Random Assignment
10. Practical Problems II: Treatment Implementation and Attrition
11. Generalized Causal Generalization: A Grounded Theory
12. Generalized Causal Generalization: Methods for Single Studies
13. Generalized Causal Generalization: Methods for Multiple Studies
14. A Critical Assessment of Our Assumptions


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