What if there were no significance tests
What if there were no significance tests
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如果没有显着性检验怎么办
DOI：
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发表时间：
1997
期刊：
影响因子：
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通讯作者：
J. H. Steiger
中科院分区：
文献类型：
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作者：
L. Harlow;S. Mulaik;J. H. Steiger
内容:前言。第一部分：概述。L.L. Harlow，显著性检验简介与概述。第二部分：争论：反对和支持显著性检验。j .科恩，《地球是圆的》。F.L. Schmidt， J. Hunter，对研究数据分析中停止显著性检验的八个反对意见。sa Mulaik， N.S. Raju， R. Harshman，《有时间和地点进行显著性检验》。R.P. Abelson，回顾1999年的显著性检验禁令（如果没有显著性检验，他们会被发明出来）。第三部分：建议替代显著性检验。《基于三值逻辑的显著性检验改革》。语言学习的自发恢复：以心理学作为一门累积科学的失败为例。J.H. Steiger， R.T. Fouladi，非中心性区间估计与统计模型的评价。R.P. McDonald，线性模型中近似的优度。第四部分：假设检验的贝叶斯方法。r.m.p ruzek，《贝叶斯推理及其应用概论》。D. Rindskopf，检验“小”而非零假设：经典和贝叶斯方法。C.S. Reichardt， H.F. Gollob，当使用置信区间而不是统计显著性检验时，反之亦然。第五部分：科学哲学问题。W.W. Rozeboom，好的科学是溯因的，而不是假设演绎的。P.E. Meehl，问题是认识论，而不是统计：用置信区间取代显著性检验，量化有风险的数字预测的准确性。
Contents: Preface. Part I: Overview. L.L. Harlow, Significance Testing Introduction and Overview. Part II: The Debate: Against and For Significance Testing. J.Cohen, The Earth Is Round. F.L. Schmidt, J. Hunter, Eight Objections to the Discontinuation of Significance Testing in the Analysis of Research Data. S.A. Mulaik, N.S. Raju, R. Harshman, There Is a Time and Place for Significance Testing. R.P. Abelson, A Retrospective on the Significance Test Ban of 1999 (If There Were No Significance Tests, They Would Be Invented). Part III: Suggested Alternatives to Significance Testing. R.J. Harris, Reforming Significance Testing via Three-Valued Logic. J.S. Rossi, Spontaneous Recovery of Verbal Learning: A Case Study in the Failure of Psychology as a Cumulative Science. J.H. Steiger, R.T. Fouladi, Noncentrality Interval Estimation and the Evaluation of Statistical Models. R.P. McDonald, Goodness of Approximation in the Linear Model. Part IV: A Bayesian Approach to Hypothesis Testing. R.M. Pruzek, An Introduction to Bayesian Inference and Its Application. D. Rindskopf, Testing 'Small,' Not Null, Hypotheses: Classical and Bayesian Approaches. C.S. Reichardt, H.F. Gollob, When Confidence Intervals Should Be Used Instead of Statistical Significance Tests, and Vice Versa. Part V: Philosophy of Science Issues. W.W. Rozeboom, Good Science Is Abductive, Not Hypothetico-Deductive. P.E. Meehl, The Problem Is Epistemology, Not Statistics: Replace Significance Tests by Confidence Intervals and Quantify Accuracy of Risky Numerical Predictions.