Applied Analysis of Variance in Behavioral Science
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A reference devoted to the discussion of analysis of variance (ANOVA) techniques. It presents ANOVA as a research design, a collection of statistical models, an analysis model, and an arithmetic summary of data. Discussion focuses primarily on univariate data, but multivariate generalizations are to
Table of Contents
"Analysis of Variance Overview, Lynne K. Edwards Multiple Comparisons of Independent Means, Philip H. Ramsey Analysis of Covariance, Scott E. Maxwell, Harold D. Delaney, and Mary F. O'Callaghan Analysis of Repeated Measurements, H. J. Keselman and Joanne C. Keselman Latin Square Designs, John W. Cotton Confounded Factorial Designs, Roger E. Kirk Multivariate Analysis of Variance, Richard J. Harris Unified Power Analysis for t-Tests Through Multivariate Hypotheses, Ralph G. O'Brien and Keith E. Muller Robustness in ANOVA, Rand Wilcox Unbalanced Data and Cell Means Models, Shayle R. Searle Tukey's Nonadditivity Test, Anant M. Kshirsagar Analysis of Time-Dependent Observations, Lynne K. Edwards Hierarchical Linear Models and Experimental Design, Stephen W. Raudenbush Analysis of Categorical Response Variables, Kinley Larntz Variance Component Estimation in Mixed Linear Models, Ronald R. Hocking Some Computer Programs for Selected ANOVA Problems, Lynne K. Edwards and Patricia C. Bland Appendix Table 1: Critical Values of the F Distribution (Random Variable with F Distribution Tabled Value) = Alpha Table 2: Upper Alpha Point of the Studentized Range Distribution with Parameter k and Degrees of Freedom d.f. "