Statistical Power Analysis

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A01=Brett Myors
A01=Kevin R. Murphy
advanced statistical study planning
analyses
Assumed Effect Size
Author_Brett Myors
Author_Kevin R. Murphy
Category=GPS
Category=JHB
Category=JMB
Category=JNM
Category=KJ
Df Error
Dfhyp
effect
Effect Size Measure
eq_bestseller
eq_business-finance-law
eq_isMigrated=1
eq_isMigrated=2
eq_nobargain
eq_non-fiction
eq_society-politics
Eta Squared
hypotheses
hypothesis
minimum
Minimum Effect Hypotheses
Minimum Effect Null Hypotheses
minimum effect testing
Minimum Effect Tests
MLM Analysis
moderator variable power
MS Error
Multi-Factor ANOVA
Multifactor ANOVA
nil
Nil Hypothesis
Nil Hypothesis Tests
Noncentrality Parameter
Null Hypothesis
null hypothesis testing
R statistical programming
Randomly Assigned
Repeated Measures Designs
Repeated Measures Factors
replication crisis analysis
sample size determination
Split Plot Factorial Design
Statistical Power Analysis
test
tests
traditional
Traditional Nil Hypothesis
Traditional Null Hypothesis
Traditional Null Hypothesis Tests

Product details

  • ISBN 9781032283005
  • Weight: 360g
  • Dimensions: 152 x 229mm
  • Publication Date: 03 Mar 2023
  • Publisher: Taylor & Francis Ltd
  • Publication City/Country: GB
  • Product Form: Paperback
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Statistical Power Analysis explains the key concepts in statistical power analysis and illustrates their application in both tests of traditional null hypotheses (that treatments or interventions have no effect in the population) and in tests of the minimum-effect hypotheses (that the population effects of treatments or interventions are so small that they can be safely treated as unimportant). It provides readers with the tools to understand and perform power analyses for virtually all the statistical methods used in the social and behavioral sciences.

Brett Myors and Kevin Murphy apply the latest approaches of power analysis to both null hypothesis and minimum-effect testing using the same basic unified model. This book starts with a review of the key concepts that underly statistical power. It goes on to show how to perform and interpret power analyses, and the ways to use them to diagnose and plan research. We discuss the uses of power analysis in correlation and regression, in the analysis of experimental data, and in multilevel studies. This edition includes new material and new power software. The programs used for power analysis in this book have been re-written in R, a language that is widely used and freely available. The authors include R codes for all programs, and we have also provided a web-based app that allows users who are not comfortable with R to perform a wide range of analyses using any computer or device that provides access to the web.

Statistical Power Analysis helps readers design studies, diagnose existing studies, and understand why hypothesis tests come out the way they do. The fifth edition includes updates to all chapters to accommodate the most current scholarship, as well as recalculations of all examples. This book is intended for graduate students and faculty in the behavioral and social sciences; researchers in other fields will find the concepts and methods laid out here valuable and applicable to studies in many domains.

Kevin Murphy is a professor emeritus, University of Limerick, and an Organizational Psychologist. He is an author and editor of over 13 books and over 200 articles and chapters, in areas ranging from data analysis and research design to performance appraisal and performance management

Brett Myors received his PhD in Psychology from University of New South Wales, with a Postdoctoral appointment at Colorado State University. He served as director of organisational psychology at Griffith University and has published methodological research in several leading journals. He currently resides in the United Kingdom.

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