Featuring detailed coverage of categorical and nonparametric statistics, this book provides a conceptual framework for choosing the appropriate type of test in various research scenarios. The assumptions of each test and the factors that impact validity and statistical power are reviewed. Each chapter features clear explanations, Exploring the Concept boxes and questions, examples from the behavioral and social sciences that demonstrate varied applications, how to use the tests in SPSS & EXCEL, and problems to test understanding. The website features datasets and more. The book appeals to advanced students and researchers in these disciplines. Prerequisites include t-tests and ANOVA.

� propos de l?auteur:

E. Michael Nussbaum is a professor of educational psychology at the University of Nevada, Las Vegas.

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Articles li�s � Categorical and Nonparametric Data Analysis: Choosing...

Categorical and Nonparametric Data Analysis: Choosing the Best Statistical Technique (Multivariate Applications Series)

Nussbaum, E. Michael

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