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University of Illinois at Urbana-Champaign

Some theoretical and applied results concerning item response theory model estimation

Abstract

dc:description

It has long been part of the Item Response Theory (IRT) folklore that under the usual empirical Bayes unidimensional IRT modeling approach, the posterior distribution of examinee ability given test response is approximately normal for a long test. Under very general non-parametric assumptions, we make this claim rigorous for a broad class of latent models.

Degree

thesis:*
Name thesis:degree_name
Ph.D.
Level thesis:degree_level
Dissertation
Discipline thesis:degree_discipline
Statistics
Grantor
University of Illinois at Urbana-Champaign
Year dc:date
2011

Author and committee

dc:creator, dc:contributor.*
Author dc:creator
  • Chang, Hua-Hua
Contributors dc:contributor
  • Stout, William F.

Subjects

dc:subject × 2

Rights

dc:rights
Statement dc:rights
  • Copyright 1992 Chang, Hua-Hua
Language dc:language
eng

Identifiers

dc:identifier.*
Identifier
AAI9236416
(UMI)AAI9236416
OAI identifier oai:identifier
oai:www.ideals.illinois.edu:2142/20739

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

Chang, Hua-Hua. Some theoretical and applied results concerning item response theory model estimation. Dissertation thesis, University of Illinois at Urbana-Champaign, 2011. http://hdl.handle.net/2142/20739