What if there were no significance tests? /
| Άλλοι συγγραφείς: | , , |
|---|---|
| Μορφή: | Βιβλίο |
| Γλώσσα: | English |
| Έκδοση: |
Mahwah, N.J. :
Lawrence Erlbaum Associates,
1997.
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| Σειρά: | Multivariate applications book series (Lawrence Erlbaum Associates)
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| Θέματα: |
Πίνακας περιεχομένων:
- Contributors
- Reviewers
- Acknowledgments
- Preface
- About the Authors
- Introduction to the Classic Edition
- Overview
- 1. Significance Testing Introduction and Overview The Debate: Against and For Significance Testing
- 2. The Earth Is Round
- 3. Eight Common but False Objections to the Discontinuation of Significance Testing in the Analysis of Research Data
- 4. There Is a Time and a Place for Significance Testing
- 5. Α Retrospective on the Significance Test Ban of 1999 (If There Were No Significance Tests, They Would Be Invented) Suggested Alternatives to Significance Testing
- 6. Reforming Significance Testing via Three-Valued Logic
- 7. A Case Study in the Failure of Psychology as a Cumulative Science: The Spontaneous Recovery of Verbal Learning
- 8. Goodness of Approximation in the Linear Model
- 9. Noncentrality Interval Estimation and the Evaluation of Statistical Models
- 10. When Confidence Intervals Should Be Used Instead of Statistical Tests, and Vice Versa
- A Bayesian Perspective on Hypothesis Testing
- 11. An Introduction to Bayesian Inference and Its Applications
- 12. Testing "Small," not Null, Hypotheses: Classical and Bayesian Approaches Philosophy of Science Issues
- 13. Good Science Is Abductive, not Hypothetico-Deductive
- 14. The Problem Is Epistemology, Not Statistics: Replace Significance Tests by Confidence Intervals and Quantify
- Accuracy of Risky Numerical Predictions
- Author Index
- Subject Index.
