What if there were no significance tests?

Content: Contributors --
Reviewers --
Acknowledgments --
Preface --
About the authors --
Overview. 1. Significance testing introduction and overview / Lisa L. Harlow --
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 / Frank L. Schmidt and John E. Hunter --
4. There is a time and place for significance testing / Stanley A. Mulaik, Nambury S. Raju, and 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 --
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 cumulative science : 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 / James H. Steiger and Rachel T. Fouladi --
10. When confidence intervals should be used instead of statistical significance tests, and vice versa / Charles S. Reichardt and Harry F. Gollob --
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 --
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 --
Author index --
Subject index.