What If There Were No Significance Tests?

Contributor(s):

Material type: Text

TextSeries: Multivariate Applications SeriesPublication details: Routledge 2016 New YorkDescription: 395pISBN:

9781138892477

Subject(s):

Statistical Hypothesis Testing

DDC classification:

519.56 WHA

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Item type	Current library	Item location	Collection	Call number	Status	Date due	Barcode	Item holds
Book	NIMA Knowledge Centre	9th Floor Reading Zone	General	519.56 WHA (Browse shelf(Opens below))	Available		M0033050

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Previous	519.55 MON Introduction to Time Series Analysis and Forecasting	519.5521 HAR Applied Time Series Modelling and Forecasting	519.56 PES Multivariate Permutation Tests: With Applications in Biostatistics	519.56 WHA What If There Were No Significance Tests?	519.57 AND RSM Simplified: Optimizing Processes Using Response Surface Methods for Design of Experiments	519.57 BER Experimental Design: With Application in Management, Engineering and the Sciences	519.6 HUC Reading Statistics and Research	Next

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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