Categorical and Nonparametric Data Analysis
eBook - ePub

Categorical and Nonparametric Data Analysis

Choosing the Best Statistical Technique

  1. 544 pages
  2. English
  3. ePUB (mobile friendly)
  4. Available on iOS & Android
eBook - ePub

Categorical and Nonparametric Data Analysis

Choosing the Best Statistical Technique

About this book

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:
ā€¢ Three chapters co-authored with Edgar Brunner address modern nonparametric techniques, along with accompanying R code.
ā€¢ Unique coverage of both categorical and nonparametric statistics better prepares readers to select the best technique for particular research projects.
ā€¢ Designed to be used with most statistical packages, clear examples of how to use the tests in SPSS, R, and Excel foster conceptual understanding.
ā€¢ Exploring the Concept boxes integrated throughout prompt students to draw links between the concepts to deepen understanding.
ā€¢ 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.

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Yes, you can access Categorical and Nonparametric Data Analysis by E. Michael Nussbaum in PDF and/or ePUB format, as well as other popular books in Psychology & Probability & Statistics. We have over one million books available in our catalogue for you to explore.

Information

Publisher
Routledge
Year
2024
Print ISBN
9780367702540
eBook ISBN
9781040019115
Edition
2
Topic
Psychology
Subtopic
Probability & Statistics
Index
Psychology

Table of contents

  1. Cover
  2. Endorsements
  3. Half Title
  4. Series
  5. Title
  6. Copyright
  7. Contents
  8. Detailed Contents
  9. About the Authors
  10. Preface
  11. Foreword
  12. Acknowledgments
  13. Chapter 1 Levels of Measurement, Probability, and the Binomial Formula
  14. Chapter 2 Estimation and Hypothesis Testing
  15. Chapter 3 Random Variables and Probability Distributions
  16. Chapter 4 Contingency Tables: The Chi-Square Test of Independence and Associated Effect Sizes
  17. Chapter 5 Contingency Tables: Special Situations
  18. Chapter 6 Basic Nonparametric Tests for Ordinal Data: (With Edgar Brunner, University of Gƶttingen)
  19. Chapter 7 Nonparametric Tests for Multiple Independent Samples: (With Edgar Brunner, University of Gƶttingen)
  20. Chapter 8 Nonparametric Tests for Related Samples: (With Edgar Brunner, University of Gƶttingen)
  21. Chapter 9 Linear Regression and Generalized Linear Models
  22. Chapter 10 Binary Logistic Regression
  23. Chapter 11 Multinomial Logistic, Ordinal, and Poisson Regression
  24. Chapter 12 Loglinear Analysis
  25. Chapter 13 General Estimating Equations
  26. Chapter 14 Estimation Procedures
  27. Chapter 15 Choosing the Best Statistical Technique
  28. Answers to Odd Numbered Problems
  29. Index