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Statistical Power Analysis for the Social and Behavioral Sciences: Basic and Advanced Techniques

Contributor(s): Liu, Xiaofeng Steven (Author)

ISBN: 9781848729810

Publisher: Routledge

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Pub Date: November 11, 2013

Dewey: 300.727

LCCN: 2013025364

Lexile Code: 0000

Features: Bibliography, Illustrated, Index

Target Age Group: NA to NA

Physical Info: 1.00" H x 9.90" L x 6.90" W ( 1.85 lbs) 386 pages

Descriptions, Reviews, etc.

Description:

This book demonstrates the application of power analysis to the newer more advanced techniques such as hierarchical linear modeling, meta-analysis, and structural equation modeling used in behavioral and social science research. It reviews both basic and advanced designs. Examples demonstrate power analysis through the use of R, SAS, and SPSS and show readers how to produce power tables when preparing a grant proposal. The corresponding computer code is available on the book's website along with a user guide and additional worked examples. The chapters closely parallel the coverage of graduate courses on research methodology/design making this an ideal supplement for such courses.

Review Quotes:

"This book extends earlier landmark texts by adding sample-size estimation for multilevel and longitudinal designs, meta-analysis, and structural-equation modeling. It is written thoughtfully and understandably. Readers will benefit enormously from the inclusion of computer code (in R, SAS and SPSS) for conducting the power analyses described. I recommend the book very highly to any researcher who wants to design research in the social sciences." - John B. Willett, Harvard University, USA

"The author skillfully blends simple explanations of core concepts with more advanced material in a way that will make the work attractive to a range of readers in psychology and related disciplines. This text will be useful for postgraduate quantitative methods courses and for researchers. The coverage - from t tests through to multilevel models and SEM - is impressive. I found the examples of R, SPSS, and SAS code invaluable." - Thom Baguley, Nottingham Trent University, UK
"This is a long-awaited, comprehensive book on power analysis after Cohen's (1988) seminal book. The updated content accompanied by sample computer code is well suited for quantitative researchers in the social and behavioral sciences." - Wei Pan, Duke University, USA

"This book provides a more comprehensive treatment of power analysis than any other work. ... This is likely to be the "go to" book for more complex designs. ... I found the writing style clear. ... The primary audience for this book would be all investigators who seek external funding for their work." - Warren W. Tryon, Fordham University, USA

"This book would be good for departments of psychology, sociology, social work, nursing and public health. Most of the PhD programs in these departments have an advanced research methods course that could use this book. ... The Cohen book has been the standard in the field for over 20 years. ... This book would make a very nice update on a classic." - Jay Maddock, University of Hawaii, USA

"This book is] a valuable extension beyond what is currently provided by other books on power. This book would contribute significantly to the field, most notably by covering the advanced and more complex techniques. ...Liu and his work are well known in this field....[This] book...could serve as the primary text for a ...course on power. ...This book would basically have the field to itself." - Geoff Cumming, La Trobe University, Australia

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