ABSTRACT

This book describes the principles and techniques needed to analyze data that form a multiway contingency table. Wickens discusses the description of association in such data using log-linear and log-multiplicative models and defines how the presence of association is tested using hypotheses of independence and quasi-independence. The application of the procedures to real data is then detailed.

This volume does not presuppose prior experience or knowledge of statistics beyond basic courses in fundamentals of probability and statistical inference. It serves as an ideal reference for professionals or as a textbook for graduate or advanced undergraduate students involved in statistics in the social sciences.

chapter 1|16 pages

Introduction

chapter 2|34 pages

Two-way Tables

chapter 3|33 pages

Models for Three-way Tables

chapter 5|44 pages

Fitting and Testing Models

chapter 6|29 pages

Testing Specific Hypotheses

chapter 7|19 pages

Predictor–Outcome Models

chapter 8|22 pages

Analyzing Unstructured Tables

chapter 9|28 pages

Measures of Effect Size

chapter 10|22 pages

Structurally Incomplete Tables

chapter 11|36 pages

Descriptions of Association

chapter 12|41 pages

Least-squares Models

chapter 13|43 pages

Ordered Categories