Ordered Regression Models

Parallel, Partial, and Non-Parallel Alternatives

Autor*innen

• Andrew S Fullerton
• Jun Xu

Reihen

• Chapman & Hall/CRC Statistik in den Sozial- und Verhaltenswissenschaften

Parameter

• 172 Seiten
• 7 Lesestunden

• Mathematik
• Psychologie
• Wirtschaft

Mehr zum Buch

Focusing on ordered regression models, this book delves into cumulative, stage, and adjacent classes, along with variations influenced by the parallel regression assumption. It emphasizes the benefits of using ordered regression for analyzing ordinal outcomes compared to linear and binary models. Additionally, the text provides guidance on interpreting and presenting results, supported by empirical examples from the social and behavioral sciences, making it a valuable resource for researchers in these fields.

• Sprache: Englisch
• Erscheinungsdatum: 2016
• Einband: Hardcover