Categorical and Nonparametric Data Analysis - E. Michael Nussbaum

Categorical and Nonparametric Data Analysis

Choosing the Best Statistical Technique
Buch | Hardcover
520 Seiten
2024 | 2nd edition
Routledge (Verlag)
978-0-367-70254-0 (ISBN)
168,35 inkl. MwSt
Now in its second edition, this book provides a comprehensive overview of categorical and nonparametric statistics, offering a conceptual framework for choosing the most appropriate test in various scenarios. Basic statistics and probability are reviewed for those needing a refresher.
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.

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.

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

Erscheinungsdatum
Reihe/Serie Multivariate Applications Series
Zusatzinfo 119 Tables, black and white; 47 Line drawings, black and white; 4 Halftones, black and white; 51 Illustrations, black and white
Verlagsort London
Sprache englisch
Maße 178 x 254 mm
Gewicht 453 g
Themenwelt Geisteswissenschaften Psychologie Allgemeine Psychologie
Mathematik / Informatik Mathematik
ISBN-10 0-367-70254-1 / 0367702541
ISBN-13 978-0-367-70254-0 / 9780367702540
Zustand Neuware
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