Ordinary least squares regression of ordered categorical data: inferential implications for practice

DOI10.1007/s13253-014-0176-zzbMath1303.62083OpenAlexW1990948629WikidataQ57099181 ScholiaQ57099181MaRDI QIDQ489936

Nora M. Bello, H. Morgan Scott, Beth Larrabee

Publication date: 21 January 2015

Published in: Journal of Agricultural, Biological, and Environmental Statistics (Search for Journal in Brave)

Full work available at URL: http://hdl.handle.net/2097/8850

zbMATH Keywords

type I errorstatistical powerviolation of assumptions

Mathematics Subject Classification ID

Applications of statistics to environmental and related topics (62P12)

Related Items

Weighted scores estimating equations and CL1 information criteria for longitudinal ordinal response ⋮ Assigning scores for ordered categorical responses ⋮ Extending ordinal regression with a latent zero-augmented beta distribution ⋮ Hierarchical modeling of structural coefficients for heterogeneous networks with an application to animal production systems

Uses Software

• R

Cites Work

• The analysis of ordered categorical data: An overview and a survey of recent developments. (With discussion)
• An “Unfolding” Latent Variable Model for Likert Attitude Data
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