A Handbook for data analysis in the behavioral sciences : methodological issues
A Handbook for data analysis in the behavioral sciences : methodological issues
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DOI：
10.5860/choice.31-0602
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发表时间：
1993
期刊：
影响因子：
--
通讯作者：
G. Keren;Charles Lewis
中科院分区：
文献类型：
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作者：
G. Keren;Charles Lewis
第一卷：方法问题。内容:前言。第一部分：模型和测量。W.K. Estes，心理学中的数学模型。麦克米伦，信号检测理论作为数据分析方法与心理决策模型。N.克里夫：《什么是测量，什么不是测量》。L.E. Jones， L.M. Koehly，多维尺度。G. Shafer：《概率的各种含义可以调和吗？》第二部分：方法问题。R.C. Serlin， D.K. Lapsley，心理学研究的理性评价与足够好原则。D.麦凯：《理论认识论：心理学中一些长期方法论问题的新视角》。受试者间或受试者内设计：一个方法论上的困境。P.W.霍兰德，因果孰先孰后？N. Brenner-Golomb， R.A. Fisher归纳推理的哲学方法。第三部分：直观统计。G. Gigerenzer，《统计推理中的超我、自我和本我》。A. Tversky， D. Kahneman，《对小数定律的信仰》。R.M. Dawes, d.f asust， P.E. Meehl，统计预测与临床预测：改进有效的方法。M. Bar-Hillel， W.A. Wagenaar，《随机性的感知》。pj Pashley，论生成随机序列。第四部分：假设检验、功效和效应大小。a·g·格林沃尔德：《对零假设的偏见的后果》。P.波拉德：“重要性”到底有多重要？M. Tatsuoka，效应大小。D.W. Zimmerman， B.D. Zumbo，参数和非参数统计方法的相对威力。罗森塔尔：《证据积累》。第二卷：统计问题。内容:前言。第一部分：方差和多元回归分析。M. Tatsuoka，一般线性模型的要素。单向度方差分析的两两比较方法。C. Lewis，《从重复测量数据分析均值》。G. Keren，《平衡方法与不平衡设计》。N.M.蒂姆，曼诺瓦和曼科瓦：概述。J. Cohen, Set Correlation。第二部分：贝叶斯统计。R.L. Winkler，贝叶斯统计：概述。C. Lewis，方差分析的贝叶斯方法。第三部分：分类数据和频率分析。S.S. Brier，分类数据分析。K.L. Delucchi，论卡方的使用与误用。埃弗里特：《分类数据分析的若干方面》。第四部分：其他话题。A.F. Smith, d.p entice，探索性数据分析。H. Wainer， D. Thissen，图形数据分析。R.M.丘奇：《计算机在心理学研究中的应用》。《计算机模拟：心理学理论述评》。R.H. Rushe， J.M. Gottman，《时间序列实验设计与分析要点》。
Volume I: Methodological Issues. Contents: Preface. Part I: Models and Measurement. W.K. Estes, Mathematical Models in Psychology. N.A. Macmillan, Signal Detection Theory as Data Analysis Method and Psychological Decision Model. N. Cliff, What Is and Isn't Measurement. L.E. Jones, L.M. Koehly, Multidimensional Scaling. G. Shafer, Can the Various Meanings of Probability Be Reconciled? Part II: Methodological Issues. R.C. Serlin, D.K. Lapsley, Rational Appraisal of Psychological Research and the Good-Enough Principle. D. MacKay, The Theoretical Epistemology: A New Perspective on Some Long-Standing Methodological Issues in Psychology. G. Keren, Between- or Within-Subjects Design: A Methodological Dilemma. P.W. Holland, Which Comes First, Cause or Effect? N. Brenner-Golomb, R.A. Fisher's Philosophical Approach to Inductive Inference. Part III: Intuitive Statistics. G. Gigerenzer, The Superego, the Ego, and the Id in Statistical Reasoning. A. Tversky, D. Kahneman, Belief in the Law of Small Numbers. R.M. Dawes, D. Faust, P.E. Meehl, Statistical Prediction Versus Clinical Prediction: Improving What Works. M. Bar-Hillel, W.A. Wagenaar, The Perception of Randomness. P.J. Pashley, On Generating Random Sequences. Part IV: Hypothesis Testing, Power, and Effect Size. A.G. Greenwald, Consequences of Prejudice Against the Null Hypothesis. P. Pollard, How Significant Is "Significance"? M. Tatsuoka, Effect Size. D.W. Zimmerman, B.D. Zumbo, The Relative Power of Parametric and Nonparametric Statistical Methods. R. Rosenthal, Cumulating Evidence. Volume 2: Statistical Issues. Contents: Preface. Part I: Analysis of Variance and Multiple Regression. M. Tatsuoka, Elements of the General Linear Model. R. Zwick, Pairwise Comparison Procedures for One-Way Analysis of Variance Designs. C. Lewis, Analyzing Means From Repeated Measures Data. G. Keren, A Balanced Approach to Unbalanced Designs. N.M. Timm, MANOVA and MANCOVA: An Overview. J. Cohen, Set Correlation. Part II: Bayesian Statistics. R.L. Winkler, Bayesian Statistics: An Overview. C. Lewis, Bayesian Methods for the Analysis of Variance. Part III: Categorical Data and the Analysis of Frequencies. S.S. Brier, Analysis of Categorical Data. K.L. Delucchi, On the Use and Misuse of Chi-Square. B.S. Everitt, Some Aspects of the Analysis of Categorical Data. Part IV: Other Topics. A.F. Smith, D.A. Prentice, Exploratory Data Analysis. H. Wainer, D. Thissen, Graphical Data Analysis. R.M. Church, Uses of Computers in Psychological Research. G.R. Loftus, Computer Simulation: Some Remarks on Theory in Psychology. R.H. Rushe, J.M. Gottman, Essentials in the Design and Analysis of Time-Series Experiments.