Beyond Significance Testing Statistics Reform in the Behavioral Sciences

ISBN-10: 1433812789
ISBN-13: 9781433812781
Edition: 2013
Authors: Rex B. Kline
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Description: Traditional education in statistics that emphasizes significance testing leaves researchers and students ill prepared to understand what their results really mean. Specifically, most researchers and students who do not have strong quantitative  More...

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Book details

Copyright year: 2013
Publisher: American Psychological Association
Binding: Hardcover
Pages: 328
Size: 7.25" wide x 10.25" long x 1.00" tall
Weight: 1.760
Language: English

Traditional education in statistics that emphasizes significance testing leaves researchers and students ill prepared to understand what their results really mean. Specifically, most researchers and students who do not have strong quantitative backgrounds have difficulty understanding outcomes of statistical tests. As more and more people become aware of this problem, the emphasis on statistical significance in the reporting of results is declining. Increasingly, researchers are expected to describe the magnitudes and precisions of their findings and also their practical, theoretical, or clinical significance. 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 promotes learning by providing chapter exercises and sample answers, downloadable raw data files for many research examples, and links to other useful websites. New to this edition is coverage of robust statistical methods for parameter estimation, effect size estimation, and interval estimation. A new chapter covers the logic and illogic of significance testing. This edition also addresses recent developments such as the new requirements of some journals for the reporting of effect sizes.

Acknowledgments
Introduction
Fundamental Concepts
Changing Times
Sampling and Estimation
Logic and Illogic of Significance Testing
Cognitive Distortions in Significance Testing
Effect Size Estimation in Comparative Studies
Continuous Outcomes
Categorical Outcomes
Single-Factor Designs
Multifactor Designs
Alternatives to Significance Testing
Replication and Meta-Analysis
Bayesian Estimation and Best Practices Summary
References
Index
About the Author

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