Amazon cover image
Image from Amazon.com

What If There Were No Significance Tests?

Contributor(s): Material type: TextTextSeries: Multivariate Applications SeriesPublication details: Routledge 2016 New YorkDescription: 395pISBN:
  • 9781138892477
Subject(s): DDC classification:
  • 519.56 WHA
Tags from this library: No tags from this library for this title. Log in to add tags.
Star ratings
    Average rating: 0.0 (0 votes)
Holdings
Item type Current library Item location Collection Call number Status Date due Barcode Item holds
Book Book NIMA Knowledge Centre 9th Floor Reading Zone General 519.56 WHA (Browse shelf(Opens below)) Available M0033050
Total holds: 0

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

There are no comments on this title.

to post a comment.
© 2025 by NIMA Knowledge Centre, Ahmedabad.
Koha version 24.05