E. Michael Nussbaum (University of Nevada, Las Vegas, USA)

Categorical and Nonparametric Data Analysis

Choosing the Best Statistical Technique

• Broschiertes Buch

Produktbeschreibung

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.

Produktdetails

• Multivariate Applications Series
• Verlag: Taylor & Francis Ltd
• 2 ed
• Seitenzahl: 520
• Erscheinungstermin: 30. Mai 2024
• Englisch
• Abmessung: 179mm x 254mm x 33mm
• Gewicht: 998g
• ISBN-13: 9780367698157
• ISBN-10: 0367698153
• Artikelnr.: 69793499

Autorenporträt

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.

Inhaltsangabe

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