What if there were no significance tests? /

• Άλλοι συγγραφείς: Harlow, Lisa Lavoie, 1951- (επιμελήτρια.), Mulaik, Stanley A., 1935- (επιμελητής.), Steiger, James H. (επιμελητής.)
• Μορφή: Βιβλίο
• Γλώσσα: English
• Έκδοση: Mahwah, N.J. : Lawrence Erlbaum Associates, 1997.
• Σειρά: Multivariate applications book series (Lawrence Erlbaum Associates)
• Θέματα: Στατιστική > Εκτίμηση πιθανοτήτων.; Στατιστική

 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.