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

Try eTextbooks risk-free with a free trial. Save more on Essentials of Statistics for the Behavioral Sciences, Second Edition, 9781429242271. As such it offers more coverage of non-parametric procedures used when standard assumptions are violated since these methods are more frequently encountered when working with real data. Knowledge of introductory statistics is assumed. Document Type: Research Affiliations: 1: Department of Methodology and Statistics, Faculty of Social and Behavioral Sciences, Tilburg University, 5000 LE, Tilburg, The Netherlands, Email: a.vdark@uvt.nl 2: London School of Economics, London, UK. Actually, yes: For (1), that is just a hypothesis test, and the social sciences have long commonly made good use of that subject, e.g., as in. Rent college textbooks as an eBook. Müller K, Anderson CW, Birch GE: Linear and nonlinear methods for brain-computer interfaces. Siegel S, Castellan JN Jr: Nonparametric Statistics for the Behavioral Sciences. Determining appropriate sample sizes is emphasized Intended for courses in intermediate statistics and/or statistics II taught in education and/or the behavioral sciences, predominantly at the master's or doctoral level. Keywords: Latent trait; monotone likelihood ratio; nonparametric item response theory; ordinal measurement; polytomous item response theory; polytomous items; stochastic ordering; total test score.