Statistical science s first coordinated manual of methods for analyzing ordered categorical data presents applications and case studies in fields as diverse as sociology, public health, ecology, marketing, and pharmacy. Analysis of Ordinal Categorical Data provides an introduction to basic descriptive and inferential methods for categorical data and gives thorough coverage of late developments. Special emphasis is placed on interpretation and application of methods including an integrated comparison of the available strategies for analyzing ordinal data. The book also discusses implementation of methods using computer packages such as SAS, SPSSx, and GLIM.
This book has some very useful techniques for analyzing ordinal categorical data (think survey results measured on a scale of 1-5, 1-10, etc.), however, the book is poorly written without enough explanation for some topics.