Files in this item



application/pdf9944801.pdf (7MB)Restricted to U of Illinois
(no description provided)PDF


Title:Psychometric Methods for Diagnostic Assessment and Dimensionality Representation
Author(s):Bolt, Daniel Marc
Doctoral Committee Chair(s):William Stout
Department / Program:Psychology
Degree Granting Institution:University of Illinois at Urbana-Champaign
Subject(s):Education, Tests and Measurements
Abstract:A second part of the thesis investigates a new methodology for the representation of multidimensional test structure based on item-pair conditional covariances. The multidimensional ability composite best measured (in terms of information) for an item is sometimes regarded as the measurement direction of the item. We demonstrate how a directional representation of an item can be reconstructed on the basis of the item's pattern of conditional covariances with all of the other items on the test. A proximity measure for item pairs is derived, and circular and spherical scaling techniques are shown to provide a method by which the unique measurement directions of items might be recovered and represented. Several real and simulated data analyses suggest that the approach may be a useful tool for investigating and describing the dimensional structure of tests.
Issue Date:1999
Description:149 p.
Thesis (Ph.D.)--University of Illinois at Urbana-Champaign, 1999.
Other Identifier(s):(MiAaPQ)AAI9944801
Date Available in IDEALS:2015-09-25
Date Deposited:1999

This item appears in the following Collection(s)

Item Statistics