Experimental and Quasi-Experimental Designs for Generalized Causal Inference

ISBN-10: 0395615569
ISBN-13: 9780395615560
Edition: 2nd 2002
List price: $177.95 Buy it from $86.62
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Description: 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:   More...

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Book details

List price: $177.95
Edition: 2nd
Copyright year: 2002
Publisher: CENGAGE Learning
Publication date: 1/2/2001
Binding: Hardcover
Pages: 656
Size: 7.00" wide x 8.75" long x 1.00" tall
Weight: 1.936
Language: English

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

The annual Campbell Prizes, which honor the memory of distinguished social scientist Donald T. Campbell, recognize outstanding social science research conducted by Lehigh students.nbsp;nbsp;nbsp;nbsp;nbsp;nbsp;nbsp;nbsp;nbsp;nbsp;nbsp;nbsp;nbsp;nbsp;nbsp;nbsp;nbsp;nbsp;nbsp;nbsp;nbsp;nbsp;nbsp;nbsp;nbsp;nbsp;nbsp;nbsp;nbsp;nbsp;nbsp;nbsp;nbsp;nbsp;nbsp;nbsp;nbsp;nbsp;nbsp;nbsp;nbsp;nbsp;nbsp;nbsp;nbsp;nbsp;nbsp;nbsp;nbsp;nbsp;nbsp;nbsp;nbsp;nbsp;nbsp;nbsp;nbsp;nbsp;nbsp;nbsp;nbsp;nbsp;nbsp;nbsp;nbsp;nbsp;nbsp;nbsp;nbsp;nbsp;nbsp;nbsp;nbsp;nbsp;nbsp;nbsp;nbsp;nbsp;nbsp;nbsp;nbsp;nbsp;nbsp;nbsp;nbsp;nbsp;nbsp;nbsp;nbsp;nbsp;nbsp;nbsp;nbsp;nbsp;nbsp;nbsp;nbsp;nbsp;nbsp;nbsp;nbsp;nbsp;nbsp;nbsp;nbsp;nbsp;nbsp;nbsp;nbsp;nbsp;nbsp;nbsp;nbsp;nbsp;nbsp;nbsp;nbsp;nbsp;nbsp;nbsp;nbsp;nbsp;nbsp;nbsp;nbsp;nbsp;nbsp;nbsp;nbsp;nbsp;nbsp;nbsp;nbsp;nbsp;nbsp;nbsp;nbsp;nbsp;nbsp;nbsp;nbsp;nbsp;nbsp;nbsp;nbsp;nbsp;nbsp;nbsp;nbsp;nbsp;nbsp;nbsp;nbsp;nbsp;nbsp;nbsp;nbsp;nbsp;nbsp;nbsp;nbsp;nbsp;nbsp;nbsp;nbsp; Donald T. Campbell passed away on May 6, 1996, leaving a legacy of high standards for social science inquiry to Lehigh University and the national and international social science community. He was University Professor of Social Relations, Psychology, and Education at Lehigh University until he retired in 1994. Campbell received his A.B. and Ph.D. from the University of California at Berkeley, and he held teaching positions at Northwestern University, Syracuse University, University of Chicago, and Ohio State University. During his career, he also lectured at Oxford, Harvard, and Yale Universities. He served as president of the American Psychological Association and was a member of the National Academy of Sciences. Campbell received numerous honorary degrees and awards. He wrote more than 235 articles in the areas of social psychology, sociology, anthropology, education, and philosophy, covering a broad scope of topics from social science methodology to philosophy of science. The Campbell Prize honors this aspiration for excellence. The prize of $500 is awarded for social science papers of high quality, methodological originality, and societal significance, as embodied in the work of the late Donald T. Campbell. Donald Campbell and his remarkable career earned a New York Times obituary and a Lehigh University faculty memorial resolution.

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

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