Structural Equation Modeling of Binary Preference Data
Maydeu-Olivares, Albert
This item is only available for download by members of the University of Illinois community. Students, faculty, and staff at the U of I may log in with your NetID and password to view the item. If you are trying to access an Illinois-restricted dissertation or thesis, you can request a copy through your library's Inter-Library Loan office or purchase a copy directly from ProQuest.
Permalink
https://hdl.handle.net/2142/82235
Description
Title
Structural Equation Modeling of Binary Preference Data
Author(s)
Maydeu-Olivares, Albert
Issue Date
1997
Doctoral Committee Chair(s)
Bockenholt, Ulf
Department of Study
Psychology
Discipline
Psychology
Degree Granting Institution
University of Illinois at Urbana-Champaign
Degree Name
Ph.D.
Degree Level
Dissertation
Keyword(s)
Business Administration, Marketing
Language
eng
Abstract
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.
Use this login method if you
don't
have an
@illinois.edu
email address.
(Oops, I do have one)
IDEALS migrated to a new platform on June 23, 2022. If you created
your account prior to this date, you will have to reset your password
using the forgot-password link below.