Analysis of Ordinal Categorical Data [Hardcover]

Statistical science’s first coordinated manual of methods for analyzing ordered categorical data, now fully revised and updated, continues to present applications and case studies in fields as diverse as sociology, public health, ecology, marketing, and pharmacy. Analysis of Ordinal Categorical Data, Second Edition provides an introduction to basic descriptive and inferential methods for categorical data, giving thorough coverage of new developments and recent methods. Special emphasis is placed on interpretation and application of methods including an integrated comparison of the available strategies for analyzing ordinal data. Practitioners of statistics in government, industry (particularly pharmaceutical), and academia will want this new edition.Preface.

1. Introduction.

1.1. Ordinal Categorical Scales.

1.2. Advantages of Using Ordinal Methods.

1.3. Ordinal Modeling Versus Ordinary Regession Analysis.

1.4. Organization of This Book.

2. Ordinal Probabilities, Scores, and Odds Ratios.

2.1. Probabilities and Scores for an Ordered Categorical Scale.

2.2. Ordinal Odds Ratios for Contingency Tables.

2.3. Confidence Intervals for Ordinal Association Measures.

2.4. Conditional Association in Three-Way Tables.

2.5. Category Choice for Ordinal Variables.

Chapter Notes.

Exercises.

3. Logistic Regression Models Using Cumulative Logits.

3.1. Types of Logits for An Ordinal Response.

3.2. Cumulative Logit Models.

3.3. Proportional Odds Models: Properties and Interpretations.

3.4. Fitting and Inference for Cumulative Logit Models.