Items related to Statistical Power Analysis: A Simple and General Model...
Statistical Power Analysis: A Simple and General Model for Traditional and Modern Hypothesis Tests, Third Edition - Hardcover
Synopsis
Noted for its accessible approach, this text applies the latest approaches of power analysis to both null hypothesis and minimum-effect testing using the same basic unified model. Through the use of a few simple procedures and examples, the authors show readers with little expertise in statistical analysis how to obtain the values needed to carry out the power analysis for their research. Illustrations of how these analyses work and how they can be used to choose the appropriate criterion for defining statistically significant outcomes are sprinkled throughout. The book presents a simple and general model for statistical power analysis based on the F statistic and reviews how to determine: the sample size needed to achieve desired levels of power; the level of power needed in a study; the size of effect that can be reliably detected by a study; and sensible criteria for statistical significance. The book helps readers design studies, diagnose existing studies, and understand why hypothesis tests come out out the way they do.
The fourth edition features:
-New Boxed Material sections provide examples of power analysis in action and discuss unique issues that arise as a result of applying power analyses in different designs.
-Many more worked examples help readers apply the concepts presented.
-Expanded coverage of power analysis for multifactor analysis of variance (ANOVA) to show readers how to analyze up to four factors with repeated measures on any or all of the factors.
-Re-designed and expanded web based One Stop F Calculator software and data sets that allow users to perform all of the book's analyses and conduct significance tests, power analyses, and assessments of N and alpha needed for traditional and minimum-effects tests.
-Easy to apply formulas for approximating the number of subjects required to reach adequate levels of power in a wide range of studies.
Intended as a supplement for graduate/advanced undergraduate courses in research methods or experimental design, intermediate, advanced, or multivariate statistics, statistics II, or psychometrics, taught in psychology, education, business, and other social and health sciences, researchers also appreciate the book‘s applied approach.
"synopsis" may belong to another edition of this title.
Review
"The change to the software is a substantial improvement and could go a long way to making power analysis more accessible. ... I often field ... questions along the lines of, “I have ten subjects per variable in my study – is that enough?” It would be refreshing to direct the questioner to a text that is as clear and usable as this one." - Stephen Brand, University of Rhode Island
"I see much need for a guide on power analysis among the graduate students and I think many students will benefit from reading this book. ... I especially like the boxed sections. ... They greatly help readers understand basic concepts." - Jaihyun Park, Baruch College
"The ... addition of worked examples for each type of analysis ... will ... make the book more useful. ... The boxed examples present difficult concepts in student-friendly language. ... I have used this book in the past ... in my graduate-level Experimental Design class. ... I would consider adopting it for my course." - Corinne Zimmerman, Illinois State University
About the Author
Pennsylvania State University, University Park, USA Griffith University, Nathan, Australia Illinois Institute of Technology
"About this title" may belong to another edition of this title.
- PublisherPsychology Press (UK)
- Publication date2009
- ISBN 10 1841697753
- ISBN 13 9781841697758
- BindingHardcover
- LanguageEnglish
- Edition number3
- Number of pages226
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