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Nonparametric statistics for the behavioral sciences Sidney Siegel
Publisher: McGraw-Hill

Journal of the Journal of Health and Social Behavior, 32, 90. Nonparametric Statistical Inference. This is one reason why I don't make a big deal of the parametric/non-parametric distinction in my Serious stats book and probably partly why a recent article in APS Observer annoyed me so much. Gravetter FJ, Wallnau LB (2009) Statistics for the behavioral sciences. Nonparametric Statistics for the Behavioural Sciences. Serious stats: A guide to advanced statistics for the behavioral sciences. Castellan, « Nonparametric Statistics for the Behavioral Sciences », McGraw-Hill, 1988. The original structure is retained, and the book continues to serve as a combined text/reference. Dataset: nonpametric_statistics_dataset.xls. Shapley, Harlow, Samuel Rapport, and Helen Wright, eds. This is the revision of the classic text in the field, adding two new chapters and thoroughly updating all others. Statistical power analysis for the behavioral sciences. New York: A non-parametric “trim and fill” method of assessing publication bias in meta-analysis. Frequently, these statistical methods model the data in the form of analysis of variance (ANOVA), or use methods often regarded as their non-parametric equivalents. On nonparametric statistics I'm not a big fan of the term "nonparametric statistics", or at least how it is used in psychology and related fields (e.g., education and health research). Siegel, Sidney 1956 Nonparametric Statistics for the Behavioral Sciences.