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Experimental and Quasi-Experimental Designs for Generalized Causal Inference

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ISBN-10: 0395615569

ISBN-13: 9780395615560

Edition: 2nd 2002 (Revised)

Authors: William R. Shadish, Thomas D. Cook, Donald T. Campbell

List price: $149.95
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This long awaited successor of the original Cook/CampbellQuasi-Experimentation: Design and Analysis Issues for Field Settingsrepresents updates in the field over the last two decades. The book covers four major topics in field experimentation: Theoretical matters: Experimentation, causation, and validity Quasi-experimental design: Regression discontinuity designs, interrupted time series designs, quasi-experimental designs that use both pretests and control groups, and other designs Randomized experiments: Logic and design issues, and practical problems involving ethics, recruitment, assignment, treatment implementation, and attrition Generalized causal inference: A grounded theory of…    
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Book details

List price: $149.95
Edition: 2nd
Copyright year: 2002
Publisher: CENGAGE Learning
Publication date: 1/2/2001
Binding: Paperback
Pages: 656
Size: 7.05" wide x 10.00" long x 1.46" tall
Weight: 2.442
Language: English

The annual Campbell Prizes, which honor the memory of distinguished social scientist Donald T. Campbell, recognize outstanding social science research conducted by Lehigh…    

Experiments and Generalized Causal Inference
Statistical Conclusion Validity and Internal Validity
Construct Validity and External Validity
Quasi-Experimental Designs That Either Lack a Control Group or Lack Pretest Observations on the Outcome
Quasi-Experimental Designs That Use Both Control Groups and Pretests
Quasi-Experimentation: Interrupted Time Series Designs
Regression Discontinuity Designs
Randomized Experiments: Rationale, Designs, and Conditions Conducive to Doing Them
Practical Problems 1: Ethics, Participant Recruitment, and Random Assignment
Practical Problems 2: Treatment Implementation and Attrition
Generalized Causal Inference: A Grounded Theory
Generalized Causal Inference: Methods for Single Studies
Generalized Causal Inference: Methods for Multiple Studies
A Critical Assessment of Our Assumptions