"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
Über den Autor und weitere Mitwirkende
Kevin R. Murphy is an Affiliate Faculty member at Colorado State University. 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.