Advanced Search

Journal Navigation

Journal Home

Subscriptions

Archive

Contact Us

Table of Contents

Click here to submit your manuscript to SPPS

CiteULike is a free service for managing and discovering scholarly references - click here to get started.

Sign In to gain access to subscriptions and/or personal tools.
Educational and Psychological Measurement
This Article
Right arrow Free Full Text (Free PDF) Free
Right arrow All Versions of this Article:
0013164406296977v1
67/6/899    most recent
Right arrow References
Right arrow Alert me when this article is cited
Right arrow Alert me if a correction is posted
Right arrow Citation Map
Services
Right arrow Email this article to a friend
Right arrow Similar articles in this journal
Right arrow Similar articles in Web of Science
Right arrow Alert me to new issues of the journal
Right arrow Add to Saved Citations
Right arrow Download to citation manager
Right arrowRequest Permissions
Right arrow Request Reprints
Right arrow Add to My Marked Citations
Citing Articles
Right arrow Citing Articles via HighWire
Right arrow Citing Articles via Web of Science (1)
Right arrow Citing Articles via Google Scholar
Right arrow Citing Articles via Scopus
Google Scholar
Right arrow Articles by Sheng, Y.
Right arrow Articles by Wikle, C. K.
Right arrow Search for Related Content
Social Bookmarking
Add to CiteULike   Add to Complore   Add to Connotea   Add to Del.icio.us   Add to Digg   Add to Reddit   Add to Technorati   Add to Twitter  
What's this?

Comparing Multiunidimensional and Unidimensional Item Response Theory Models

Yanyan Sheng

Southern Illinois University Carbondale, ysheng{at}siu.edu

Christopher K. Wikle

University of Missouri-Columbia

For tests consisting of multiple subtests, unidimensional item response theory (IRT) models apply when the subtests are known to measure a common underlying ability. However, in many instances, due to the lack of a satisfactory index for assessing the dimensionality assumption, the test structure is not clear. A more general IRT model, the multiunidimensional model, is more flexible and efficient in various test situations. This article compares these two classes of normal ogive two-parameter models and shows that the multiunidimensional model offers a better way to represent test situations not realized in unidimensional models.

Key Words: item response theory • unidimensional model • multiunidimensional model • Markov chain Monte Carlo • Bayesian model choice

This version was published on December 1, 2007

Educational and Psychological Measurement, Vol. 67, No. 6, 899-919 (2007)
DOI: 10.1177/0013164406296977
Add to CiteULike CiteULike   Add to Complore Complore   Add to Connotea Connotea   Add to Del.icio.us Del.icio.us   Add to Digg Digg   Add to Reddit Reddit   Add to Technorati Technorati   Add to Twitter Twitter    What's this?


This article has been cited by other articles:


Home page
 Applied Psychological MeasurementHome page
J. de la Torre and H. Song
Simultaneous Estimation of Overall and Domain Abilities: A Higher-Order IRT Model Approach
Applied Psychological Measurement, November 1, 2009; 33(8): 620 - 639.
[Abstract] [PDF]