New techniques for the dimensionality assessment of standardized test data

A new index based on the conditional covariance of item scores given a latent variable is defined and investigated to assess dimensionality in educational and psychological test data. This index successfully detects the test dimensionality in both identifying the number of dimensions present in the test and identifying the items contributing to each dimension by means of cluster analysis. In addition, this index remarkably quantifies lack of unidimensionality in the test data, and the asymptotic behavior of this index under unidimensionality provides theoretical justification.

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 dc:creator

• Kim, Hae-Rim

Contributors dc:contributor

• Stout, William F.

• Education, Tests and Measurements
• Statistics
• Psychology, Psychometrics

Statement dc:rights

• Copyright 1994 Kim, Hae-Rim

Language dc:language

eng

Identifier

AAI9512427
(UMI)AAI9512427

OAI identifier oai:identifier

oai:www.ideals.illinois.edu:2142/19110