Categorical and Nonparametric Data Analysis

Choosing the Best Statistical Technique
2. Auflage 2024
ISBN: 978-0-367-69815-7
Verlag: Routledge

Buch, Englisch, 544 Seiten, Format (B × H): 178 mm x 254 mm, Gewicht: 1014 g

Reihe: Multivariate Applications Series

Now in its second edition, this book provides a focused, comprehensive overview of both categorical and nonparametric statistics, offering a conceptual framework for choosing the most appropriate test in various scenarios. The book’s clear explanations and Exploring the Concept boxes help reduce reader anxiety. Problems inspired by actual studies provide meaningful illustrations of these techniques. Basic statistics and probability are reviewed for those needing a refresher with mathematical derivations placed in optional appendices.

Highlights include the following:

• Three chapters co-authored with Edgar Brunner address modern nonparametric techniques, along with accompanying R code.
• Unique coverage of both categorical and nonparametric statistics better prepares readers to select the best technique for particular research projects.
• Designed to be used with most statistical packages, clear examples of how to use the tests in SPSS, R, and Excel foster conceptual understanding.
• Exploring the Concept boxes integrated throughout prompt students to draw links between the concepts to deepen understanding.
• Fully developed Instructor and Student Resources featuring datasets for the book's problems and a guide to R, and for the instructor PowerPoints, author's syllabus, and answers to even-numbered problems.

Intended for graduate or advanced undergraduate courses in categorical and nonparametric statistics taught in psychology, education, human development, sociology, political science, and other social and life sciences.

Zielgruppe

Postgraduate and Undergraduate Advanced

Autoren/Hrsg.

Nussbaum, E. Michael

Fachgebiete

• Sozialwissenschaften Psychologie Allgemeine Psychologie Differentielle Psychologie, Persönlichkeitspsychologie Psychologische Diagnostik, Testpsychologie
• Sozialwissenschaften Psychologie Psychologie / Allgemeines & Theorie Psychologische Forschungsmethoden
• Mathematik | Informatik Mathematik Stochastik

Inhaltsverzeichnis

1. Levels of Measurement, Probability, and the Binomial Formula
2. Estimation and Hypothesis Testing
3. Random Variables and Probability Distributions
4. Contingency Tables: The Chi-Square Test of Independence and Associated Effect Sizes
5. Contingency Tables: Special Situations
6. Basic Nonparametric Tests for Ordinal Data
7. Nonparametric Tests for Multiple Independent Samples
8. Nonparametric Tests for Related Samples
9. Linear Regression and Generalized Linear Models
10. Binary Logistic Regression
11. Multinomial Logistic, Ordinal, and Poisson Regression
12. Loglinear Analysis
13. General Estimating Equations
14. Estimation Procedures
15. Choosing the Best Statistical Technique
Answers to Odd Numbered Problems

Über Autor(innen)

E. Michael Nussbaum is a Professor of Educational Psychology at The University of Nevada, Las Vegas, USA. Dr. Nussbaum holds a PhD from Stanford University and an MPP from the University of California, Berkeley. He is the author of numerous research publications and serves on the editorial boards of the Journal of Educational Psychology and the Educational Psychologist.