Experimental And Quasi-experimental Designs For Generalized Causal Inference by William R. ShadishExperimental And Quasi-experimental Designs For Generalized Causal Inference by William R. Shadish

Experimental And Quasi-experimental Designs For Generalized Causal Inference

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

Hardcover | January 2, 2001

not yet rated|write a review

Pricing and Purchase Info

$192.95

Earn 965 plum® points

In stock online

Ships free on orders over $25

Not available in stores

about

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:

Details & Specs

Title:Experimental And Quasi-experimental Designs For Generalized Causal InferenceFormat:HardcoverDimensions:656 pages, 9 × 7 × 1 inPublished:January 2, 2001Publisher:Wadsworth PublishingLanguage:English

The following ISBNs are associated with this title:

ISBN - 10:0395615569

ISBN - 13:9780395615560

Look for similar items by category:

Customer Reviews of Experimental And Quasi-experimental Designs For Generalized Causal Inference

Reviews

Extra Content

Table of Contents

1. Experiments and Generalized Causal Inference2. Statistical Conclusion Validity and Internal Validity3. Construct Validity and External Validity4. Quasi-Experimental Designs That Either Lack a Control Group or Lack Pretest Observations on the Outcome5. Quasi-Experimental Designs That Use Both Control Groups and Pretests6. Quasi-Experimentation: Interrupted Time Series Designs7. Regression Discontinuity Designs8. Randomized Experiments: Rationale, Designs, and Conditions Conducive to Doing Them9. Practical Problems 1: Ethics, Participant Recruitment, and Random Assignment10. Practical Problems 2: Treatment Implementation and Attrition11. Generalized Causal Inference: A Grounded Theory 12. Generalized Causal Inference: Methods for Single Studies13. Generalized Causal Inference: Methods for Multiple Studies14. A Critical Assessment of Our Assumptions