Nonparametric statistics for the behavioral sciences by Sidney Siegel

Nonparametric statistics for the behavioral sciences Sidney Siegel ebook
Publisher: McGraw-Hill
ISBN: 9780070573,
Page: 332
Format: pdf

Nonparametric analysis of longitudinal data in factorial experiments. 2 Genome Exploration Research Group (Genome Network Project Core Group), RIKEN Genomic Sciences Center (GSC), RIKEN Yokohama Institute, 1-7-22 Suehiro-cho, Tsurumi-ku, Yokohama, Kanagawa, 230-0045, Japan. 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. Rank transformations as a Psychological Science, 18, 230-232. 3 Institute for Molecular Bioscience, University of Queensland, 306 Carmody Road, .. Gravetter FJ, Wallnau LB (2009) Statistics for the behavioral sciences. This manual was originally intended to accompany Howell, D. 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. Siegel S, Castellan NJ: Nonparametric Statistics for the Behavioral Sciences. 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. (2004) Fundamental Statistics for the Statisitcs for The Behavioral Sciences Author: David C. Knowledge of introductory statistics is assumed. PubMed Abstract | Publisher Full Text | PubMed Central Full Text OpenURL. Journal of Educational and Behavioral Statistics, 19, 237-273. Nonparametric methods in factorial designs. Doi: 10.1111/j.1467-9280.2007.01881.x · PsycINFO · Cited By · DOI .