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Preface
This book is about regression models for ordinal outcomes, which are variables that have
ordered categories but unknown spacing between categories. Ordinal outcomes are very
common in the social and behavioral sciences. Self-rated health, educational attainment,
income measured in intervals of $25,000, and attitudes measured on a Likert scale are
just a few basic examples of ordinal variables that one may analyze using one or more
of the ordered regression models we present. Our focus in this book is narrower than
most books on the analysis of ordinal variables because we only consider regression-based
approaches. However, we pro ...