Ebook Experimental and Quasi-Experimental Designs for Generalized Causal Inference
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Experimental and Quasi-Experimental Designs for Generalized Causal Inference
Ebook Experimental and Quasi-Experimental Designs for Generalized Causal Inference
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Review
"...I received my book yesterday...thank you so much! I used the 1979 version a lot in my PhD program and am eagerly re-reading it. It's a great experimental design book and is excellent for explaining validity issues to students!"
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About the Author
William Shadish (Ph.D., 1978, Purdue University) is a professor of psychology at the University of Memphis. His recent research pertains to experimental design, meta-analysis, methodology, and program evaluation theory. In the past, he has done extensive research on long-term care for the chronically mentally ill. With his colleagues at the University of Memphis, Dr. Shadish has studied the psychology of science, both theoretically and empirically. Thomas D. Cook (Ph.D., 1967, Stanford University) is a professor of sociology, psychology, education and social policy, as well as a Faculty Fellow, Institute of Policy Research at Northwestern University. His major research interests include examining routes out of poverty and methodology, dealing with the design and execution of social experiments, methods for promoting causal generalization, and theories of evaluation practice. Dr. Cook has written or edited seven books and has published numerous articles and book chapters. He was the recipient of the Myrdal Prize for Science from the Evaluation Research Society in 1982 and the Donald Campbell Prize for Innovative Methodology from the Policy Sciences Organization in 1988. He is a trustee of the Russell Sage Foundation and a member of its committee on the Future of Work.
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Product details
Paperback: 656 pages
Publisher: Cengage Learning; 2 edition (January 2, 2001)
Language: English
ISBN-10: 0395615569
ISBN-13: 978-0395615560
Product Dimensions:
7 x 0.9 x 9 inches
Shipping Weight: 2 pounds (View shipping rates and policies)
Average Customer Review:
4.2 out of 5 stars
55 customer reviews
Amazon Best Sellers Rank:
#33,517 in Books (See Top 100 in Books)
I want to emphasize something that I think explains the very mixed reviews of this book--that it's NOT an introduction to experimental research. This book is the successor to Campbell and Stanley's Experimental and Quasi-Experimental Designs for Research and Cook and Campbell's Quasi-Experimentation, both pathbreaking works in this field. It is by far the most sophisticated and thoughtful analysis of the experimental approach to social research, and explores in depth some issues (such as causation) that other books only touch on. Donald Campbell was the major figure in the development of this approach, and this book continues the tradition he began, significantly expanding and revising his arguments. I can understand the frustration of students who are assigned this book in an introductory course, but every researcher who plans on actually doing experimental research in the social sciences (not psychology) needs this book--particularly the last chapter, "A Critical Assessment of Our Assumptions."
Assigned text for my quantitative research course. So far it’s difficult to stay focused. Wordy and lengthy. But I’ll deal with it because...will I’m trying to get a PhD. Just wish it could use more examples of research studies or something so it wouldn’t be so dry.
Well written. Provides a good understanding of Quasi-experimental designs. The only draw back is the examples are hard to apply to complex research designs such. The authors use examples that have 100 or less data points. However provides the reader with a strong understanding of the design.
This book was recommended to me by a friend who is more familiar with these experimental methods than I am. I have not been disappointed- Shadish explains the techniques in an easy-to-understand manner, with enough details to develop ideas into research questions. Unless you're a methodologist, you'll still need help carrying out studies using these methods, but the knowledge contained in this book goes a long way toward getting the process started. Highly recommended.
A great reference text, but a very slow read.
This is definitely a polarizing methodology textbook. Students who prefer a more straightforward approach will probably do better with Gall, Gall and Borg. However, if you want/need sophisticated content on the philosophical underpinnings of research designs rather than just a cookbook for your dissertation, this is a far better resource.
Not very easy to understand but easy to follow.
Pretty much feels like a new book.
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