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What If There Were No Significance Tests? Ed by Lisa L. Harlow, Stanley A. Mulaik and James H. Steiger

Contributor(s): Harlow, Lisa L [Editor] | Mulaik, Stanley A [Editor] | Steiger, James H [Editor].
Material type: materialTypeLabelBookSeries: Multivariate Applications Series. Publisher: New York Routledge 2016Description: 395p.ISBN: 9781138892477.Subject(s): Statistical Hypothesis TestingDDC classification: 519.56
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Part I: Overview
1. Significance Testing Introduction and Overview / Lisa L. Harlow

Part II: The Debate: Against and For Significance Testing
2. The Earth Is Round (p < .05) / Jacob Cohen
3. Eight Common but False Objections to the Discontinuation of Significance Testing in the Analysis of Research Data / John E. Hunter
4. There Is a Time and a Place for Significance Testing / Richard A. Harshman
5. A Retrospective on the Significance Test Ban of 1999 (If There Were No Significance Tests, They Would Be Invented) / Robert P. Abelson

Part III: Suggested Alternatives to Significance Testing
6. Reforming Significance Testing via Three-Valued Logic / Richard J. Harris
7. A Case Study in the Failure of Psychology as a CumulativeScience: The Spontaneous Recovery of Verbal Learning / Joseph S. Rossi
8. Goodness of Approximation in the Linear Model / Roderick P. McDonald
9.Noncentrality Interval Estimation and the Evaluation of Statistical Models / Rachel T. Fouladi
10. When Confidence Intervals Should Be Used Instead of Statistical Tests, and Vice Versa / Harry F. Gollob

Part IV: A Bayesian Perspective on Hypothesis Testing
11. An Introduction to Bayesian Inference and Its Applications / Robert M. Pruzek
12. Testing "Small," not Null, Hypotheses: Classical and Bayesian Approaches / David M. Rindskopf

Part V: Philosophy of Science Issues
13. Good Science Is Abductive, not Hypothetico-Deductive / William W. Rozeboom
14. The Problem Is Epistemology, Not Statistics: Replace Significance Tests by Confidence Intervals and Quantify Accuracy of Risky Numerical Predictions / Paul E. Meehl

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