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University of Illinois at Urbana-Champaign

Structural Equation Modeling of Binary Preference Data

Abstract

dc:description

Based on the asymptotic distribution of marginal sample proportions a family of statistics for testing sparse binary contingency tables under multinomial sampling is proposed. These statistics are used to assess the goodness of fit of Thurstonian models for binary preference data.

Degree

thesis:*
Name thesis:degree_name
Ph.D.
Level thesis:degree_level
Dissertation
Discipline thesis:degree_discipline
Psychology
Grantor
University of Illinois at Urbana-Champaign
Year dc:date
2015

Author and committee

dc:creator, dc:contributor.*
Author dc:creator
  • Maydeu-Olivares, Albert
Contributors dc:contributor
  • Bockenholt, Ulf

Subjects

dc:subject × 1

Rights

Language dc:language
eng

Identifiers

dc:identifier.*
Identifier
(MiAaPQ)AAI9812826
OAI identifier oai:identifier
oai:www.ideals.illinois.edu:2142/82235

Chain of custody

source
Harvested from
University of Illinois - Urbana-Champaign
Base URL
www.ideals.illinois.edu/oai-pmh
Last updated
2026-07-22
Source record
OAI-PMH GetRecord
citation

Maydeu-Olivares, Albert. Structural Equation Modeling of Binary Preference Data. Dissertation thesis, University of Illinois at Urbana-Champaign, 2015. http://hdl.handle.net/2142/82235