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基本説明
Reviews the controversy about significance testing, which has now crossed various disciplines as diverse as psychology, ecology, commerce, education, and biology, among others.
Full Description
This accessibly written book reviews the controversy about significance testing, which has now crossed various disciplines as diverse as psychology, ecology, commerce, education, and biology, among others. It also introduces readers to alternative methods, especially effect size estimation (at both the group and case levels) and interval estimation (confidence intervals) in comparative studies. Basics of bootstrapping and Bayesian estimation are also considered.
Research examples from substance abuse, education, learning, and other areas illustrate how to apply these methods.
A companion website (www.apa.org/books/resources/kline) promotes learning by providing chapter exercises and sample answers, downloadable raw data files for many research examples, and links to other useful websites.
Contents
Acknowledgments
Introduction
I. Fundamental Concepts
Changing Times
Sampling and Estimation
Logic and Illogic of Significance Testing
Cognitive Distortions in Significance Testing
II. Effect Size Estimation in Comparative Studies
Continuous Outcomes
Categorical Outcomes
Single-Factor Designs
Multifactor Designs
III. Alternatives to Significance Testing
Replication and Meta-Analysis
Bayesian Estimation and Best Practices Summary
References
Index
About the Author