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Categorical and Nonparametric Data Analysis: Choosing the Best Statistical Technique ,second edition
Author(s): E. Michael Nussbaum
Description
This textbook 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 textbook’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.
contents
CHAPTER 1 Levels of Measurement, Probability, and the Binomial Formula CHAPTER 2 Estimation and Hypothesis Testing CHAPTER 3 Random Variables and Probability Distributions CHAPTER 4 Contingency Tables: The Chi-Square Test of Independence and Associated Effect Sizes CHAPTER 5 Contingency Tables: Special Situations CHAPTER 6 Basic Nonparametric Tests for Ordinal Data:
(With Edgar Brunner, University of Göttingen)
CHAPTER 7 Nonparametric Tests for Multiple Independent Samples:
(With Edgar Brunner, University of Göttingen)
CHAPTER & Nonparametric Tests for Related Samples:
(With Edgar Brunner, University of Göttingen)
CHAPTER 9 Linear Regression and Generalized Linear Models CHAPTER 10 Binary Logistic Regression
CHAPTER 11 Multinomial Logistic, Ordinal, and Poisson Regression
CHAPTER 12 Loglinear Analysis
CHAPTER 13 General Estimating Equations
CHAPTER 14 Estimation Procedures
CHAPTER 15Choosing the Best Statistical Technique
Answers to Odd Numbered Problems
Index
E. Michael Nussbaum - Categorical and Nonparametric Data Analysis_ Choosing the .pdf
(6.28 MB, 需要: RMB 19 元)
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