
Statistical Power Analysis
Description
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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.
Reviews / Votes
"The detailed coverage of conducting a full power analysis, as well as the simple estimates ... allows students to not only understand the benefit of power analysis, but also gives them a good guideline for adequate sample sizes to ensure that they at least come close to the adequate sample. ... Faculty members who are teaching quantitative research courses ... should expose their students ... to this book. ... It is written in a way that is approachable to graduate level students." - Brigitte Vittrup, Texas Women's University, USA"The explanation of how power can be estimated using a unified method of F transformations ... helps readers understand the workings behind the mysterious tables that are available elsewhere ... and ... behind ... power calculators. ... I use this book in my research design course. ... I intend to continue using this book. ... The sections on determining sensitivity and decision criteria are important, well written and frequently missed in other texts. ... The authors write clearly. ... The boxed examples are one of the best features." - Patricia Newcomb, University of Texas at Arlington, USA
"I have always liked the critical discussion of the traditional null hypothesis, and the minimum effect size alternative central to this book. ... The [new edition] ... benefits from adding discussion about various designs such as multifactorial ANOVA ... [which] offer ideas [on] how to plan more complex experiments, and expand the applicability of power analysis." - Andres Kriete, Drexel University, USA
"This concise yet detailed text fills a vital niche for graduate students and seasoned researchers alike, providing an understanding of the basic tenets of statistical power, and its application to a variety of hypothesis testing scenarios." - Chris Stride, University of Sheffield, UK "The detailed coverage of conducting a full power analysis, as well as the simple estimates ... allows students to not only understand the benefit of power analysis, but also gives them a good guideline for adequate sample sizes to ensure that they at least come close to the adequate sample. ... Faculty members ...should expose their students ... to this book. ...It is written in a way that is approachable to graduate level students." - Brigitte Vittrup, Texas Women's University, USA
"This concise yet detailed text fills a vital niche for graduate students and seasoned researchers alike, providing an understanding of the basic tenets of statistical power, and its application to a variety of hypothesis testing scenarios."- Chris Stride, University of Sheffield, UK
"The explanation of how power can be estimated using a unified method of F transformations ... helps readers understand the workings behind the mysterious tables that are available elsewhere. ... I use this book in my research design course. ... The sections on determining sensitivity and decision criteria are... frequently missed in other texts. ... The authors write clearly." - Patricia Newcomb, University of Texas at Arlington, USA
"I have always liked the critical discussion of the traditional null hypothesis, and the minimum effect size alternative central to this book. ... The [new edition] ... benefits from adding discussion about various designs such as multifactorial ANOVA ... [which] offer ideas [on] how to plan more complex experiments and expand the applicability of power analysis." - Andres Kriete, Drexel University, USA
More details
Other editions
Additional editions


Persons
Brett Myors is an Adjunct Professor of Psychology at Griffith University in Australia.
Allen Wolach is a retired Professor of Psychology from Illinois Institute of Psychology.
Content
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