Description: Categorical and Nonparametric Data Analysis : Choosing the Best Statistical Technique, Hardcover by Nussbaum, E. Michael, ISBN 1848726031, ISBN-13 9781848726031, Brand New, Free shipping in the US Featuring in-depth coverage of categorical and nonparametric statistics, this book provides a conceptual framework for choosing the most appropriate type of test in various research scenarios. Class tested at the University of Nevada, th's clear explanations of the underlying assumptions, computer simulations, and Exploring the Concept boxes help reduce reader anxiety. Problems inspired by actual studies provide meaningful illustrations of the techniques. The underlying assumptions of each test and the factors that impact validity and statistical power are reviewed so readers can explain their assumptions and how tests work in future publications. Numerous examples from psychology, education, and other social sciences demonstrate varied applications of the material. Basic statistics and probability are reviewed for those who need a refresher. Mathematical derivations are placed in optional appendices for those interested in this detailed coverage. Highlights include the following:Unique coverage of categorical and nonparametric statistics better prepares readers to select the best technique for their particular research project; however, some chapters can be omitted entirely if preferred. Step-by-step examples of each test help readers see how the material is applied in a variety of disciplines. Although th can be used with any program, examples of how to use the tests in SPSS and Excel foster conceptual understanding.Exploring the Concept boxes integrated throughout prompt students to review key material and draw links between the concepts to deepen understanding. Problems in each chapter help readers test their understanding of the material. Emphasis on selecting tests that maximize power helps readers avoid "marginally" significant results. Website () features datasets for th's examples and problems, and for the instructor, PowerPoint slides, sample syllabi, answers to the even-numbered problems, and Excel data sets for lecture purposes. Intended for individual or combined graduate or advanced undergraduate courses in categorical and nonparametric data analysis, cross-classified data analysis, advanced statistics and/or quantitative techniques taught in psychology, education, human development, sociology, political science, and other social and life sciences, th also appeals to researchers in these disciplines. The nonparametric chapters can be deleted if preferred. Prerequisites include knowledge of t tests and ANOVA.
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Book Title: Categorical and Nonparametric Data Analysis : Choosing the Best S
Number of Pages: 506 Pages
Language: English
Publication Name: Categorical and Nonparametric Data Analysis : Choosing the Best Statistical Technique
Publisher: Routledge
Subject: Probability & Statistics / General, Probability & Statistics / Multivariate Analysis, Probability & Statistics / Regression Analysis, Statistics
Publication Year: 2014
Item Height: 0.9 in
Item Weight: 38.6 Oz
Type: Textbook
Author: E. Michael Nussbaum
Subject Area: Mathematics, Psychology
Item Length: 10 in
Item Width: 7 in
Series: Multivariate Applications Ser.
Format: Hardcover
