Experimental and Quasi-experimental Designs for Generalized Causal Inference

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Houghton Mifflin, 2002 - Psychology - 623 pages
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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:

  • 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 generalized causal inference, along with methods for implementing that theory in single and multiple studies

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Excellent book. I require the text in a doctoral research design course that I teach. A must read for those conducting human trials.

Contents

EXPERIMENTS AND GENERALIZED CAUSAL
1
Causation Correlation and Confounds
7
Nonexperimental Designs
18
Copyright

58 other sections not shown

Common terms and phrases

alternative analysis apply assess assumptions attrition better bias called Campbell causal inference causal relationship cause chapter characteristics common compared construct construct validity control group correlated critics cutoff dependent describe developed discuss effect equation error estimates example expected experimental external validity Figure given implementation important improve increase individual instance interaction interest internal intervention irrelevant kinds knowledge label later less levels limited matching means measures mediator ment methods multiple observed occur outcome participants particular patients persons population possible posttest practical present pretest principles problems procedures question random assignment randomized experiment randomly rarely rates reasons receive reduce refers regression reported represent requires sample scores selection settings similar single sizes social sometimes statistical suggested theory threats tion treatment units usually variable vary

Bibliographic information

QR code for Experimental and Quasi-experimental Designs for Generalized Causal Inference
TitleExperimental and Quasi-experimental Designs for Generalized Causal Inference
AuthorsWS. SHADISH, William R. Shadish, Thomas D. Cook, Donald Thomas Campbell
Edition2, illustrated, reprint
PublisherHoughton Mifflin, 2002
Original fromthe University of Michigan
DigitizedJul 30, 2009
ISBN0395615569, 9780395615560
Length623 pages
Subjects › 

Psychology / Experimental Psychology
  
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