Ordered Regression Models
Parallel, Partial, and Non-Parallel Alternatives
This book provides comprehensive coverage of the three major classes of ordered regression models (cumulative, stage, and adjacent) as well as variations based on the application of the parallel regression assumption. It explores the advantages of ordered regression models over linear and binary regression models for the analysis of ordinal outcomes. The book also highlights several ways to interpret and present the results by using empirical examples from the social and behavioral sciences.
Includes detailed examples and code online
avril 2016, env. 172 pages, Chapman & Hall/CRC Statistics in the Social and Behavioral Sciences, Anglais
Taylor and Francis
978-1-4665-6973-7
Taylor and Francis
978-1-4665-6973-7

