Categorical and Nonparametric Data Analysis: Choosing the Best Statistical Technique

✍ Scribed by E. Michael Nussbaum

Publisher: Routledge
Year: 2014
Tongue: English
Leaves: 526
Edition: 1
Category: Library

No coin nor oath required. For personal study only.

✦ Synopsis

Featuring in-depth coverage of categorical and nonparametric statistics, this book provides a conceptual framework for choosing the most appropriate type of test in various research scenarios. Class tested at the University of Nevada, the book's clear explanations of the underlying assumptions, computer simulations, and Exploring the Concept boxes help reduce reader anxiety. Problems inspired by actual studies provide meaningful illustrations of the techniques. The underlying assumptions of each test and the factors that impact validity and statistical power are reviewed so readers can explain their assumptions and how tests work in future publications. Numerous examples from psychology, education, and other social sciences demonstrate varied applications of the material. Basic statistics and probability are reviewed for those who need a refresher. Mathematical derivations are placed in optional appendices for those interested in this detailed coverage.

✦ Table of Contents

CATEGORICAL AND NONPARAMETRIC DATA ANALYSIS
Title Page
Dedication
BRIEF CONTENTS
CONTENTS
PREFACE
ABOUT THE AUTHOR
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 and Associated Effect Sizes
5 CONTINGENCY TABLES: Special Situations
6 BASIC NONPARAMETRIC TESTS FOR ORDINAL DATA
7 NONPARAMETRIC TESTS FOR MULTIPLE OR RELATED SAMPLES
8 ADVANCED RANK TESTS (FOR INTERACTIONS AND ROBUST ANOVA)
9 LINEAR REGRESSION AND GENERALIZED LINEAR MODELS
10 BINARY LOGISTIC REGRESSION
11 MULTINOMIAL LOGISTIC, ORDINAL, AND POISSON REGRESSION
12 LOG-LINEAR ANALYSIS
13 GENERAL ESTIMATING EQUATIONS
14 ESTIMATION PROCEDURES
15 CHOOSING THE BEST STATISTICAL TECHNIQUE
ANSWERS TO ODD-NUMBERED PROBLEMS
INDEX

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