Essential Guide to Effect Sizes Statistical Power, Meta-Analysis, and the Interpretation of Research Results

ISBN-10: 0521142466

ISBN-13: 9780521142465

Edition: 2010

Authors: Paul D. Ellis
List price: $46.95
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Book details

List price: $46.95
Copyright year: 2010
Publisher: Cambridge University Press
Publication date: 7/1/2010
Binding: Paperback
Pages: 188
Size: 6.75" wide x 9.50" long x 0.50" tall
Weight: 0.990
Language: English

Paul D. Ellis is Professor in the Department of Management and Marketing at Hong Kong Polytechnic University, where he has taught research methods for nearly fifteen years. His research interests include trade and investment issues, marketing and economic development, international entrepreneurship, and economic geography. Professor Ellis has been ranked as one of the world's most prolific scholars in the field of international business.

List of figures
List of Tables
List of boxes
Introduction
Effect sizes and the interpretation of results
Introduction to effect sizes
The dreaded question
Two families of effects
Reporting effect size indexes - three lessons
Summary
Interpreting effects
A age-old debate - rugby versus soccer
The problem of interpretation
The importance of context
The contribution to knowledge
Cohen's controversial criteria
Summary
The analysis of statistical power
Power analysis and the detection of effects
The foolish astronomer
The analysis of statistical power
Using power analysis to select sample size
Summary
The painful lessons of power research
The low power of published research
How to boost statistical power
Summary
Meta-analysis
Drawing conclusions using meta-analysis
The problem of discordant results
Reviewing past research - two approaches
Meta-analysis in six (relative) easy steps
Meta-analysis as a guide for further research
Summary
Minimizing bias in meta-analysis
Four ways to ruin perfectly good meta-analysis
Exclude relevant research
Include bad results
Use inappropriate statistical models
Run analyses with insufficient statistical power
Summary
Last word: thirty recommendations for researchers
Appendices
Minimum sample size
Alternative methods for meta-analysis
Bibliography
Index
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