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Quasi-Experimentation: Design & Analysis Issues for Field Settings Paperback – January 2, 1979

ISBN-13: 978-0395307908 ISBN-10: 0395307902

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Quasi-Experimentation: Design & Analysis Issues for Field Settings + Experimental and Quasi-Experimental Designs for Research + Experimental and Quasi-Experimental Designs for Generalized Causal Inference
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Product Details

  • Paperback: 420 pages
  • Publisher: Houghton Mifflin (January 2, 1979)
  • Language: English
  • ISBN-10: 0395307902
  • ISBN-13: 978-0395307908
  • Product Dimensions: 1 x 7.2 x 9.2 inches
  • Shipping Weight: 1.4 pounds (View shipping rates and policies)
  • Average Customer Review: 4.8 out of 5 stars  See all reviews (5 customer reviews)
  • Amazon Best Sellers Rank: #441,664 in Books (See Top 100 in Books)

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31 of 33 people found the following review helpful By A Customer on April 6, 2000
Format: Paperback
"Quasi-Experimentation" carries on the work begun by Campbell and Stanley in "Experimental and Quasi-Experimental Designs for Research." Beginning with a discussion of the positivist origins of science and evaluation research, it details a range of quasi-experimental approaches suitable to "real world" research, together with statistical techniques applicable to each. The book includes a realistic assessment of the barriers to randomization in natural settings, including the observation that true randomization is rarely used unless there is a marked power differential between the researcher and the subjects. The book is thoughtful, well-written, and invaluable.
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7 of 7 people found the following review helpful By Roland B. Stark on December 20, 2008
Format: Paperback
I grant that it's not the most up-to-date, transparent, visually stimulating, or artfully written book. Even so, it's very rewarding for a reader who's serious about expanding his/her toolkit and gaining a more professional grasp of challenging issues in research design--experimental, non experimental, or quasi-experimental. Material on threats to validity, especially, continues to be cited extremely widely. Their discussion of time series modelling is intriguing, and they offer a particularly thought-provoking section on the intricacies of analyzing gain scores and the choice of ANOVA vs. ANCOVA.
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7 of 9 people found the following review helpful By Sarah Schwartz on January 8, 2006
Format: Paperback
Although this book is from 1979, and would appear to be replaced by the recent book Shadish, Cook, and Campbell, _Experimental and Quasi-Experimental Designs_ (2002), it is actually not redundant with the newer book as it explains a number of issues clearly that are omitted in SCC.
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Format: Paperback Verified Purchase
As other reviews stated: this is a classic one. gives another perspective on field research methods more available then randomized clinical trails which are not always feasible
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By William Riddel on October 31, 2014
Format: Paperback Verified Purchase
Excellent all the way around. I would buy from them again. Very satisfied overall.
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