Get 20M+ Full-Text Papers For Less Than $1.50/day. Start a 7-Day Trial for You or Your Team.

Learn More →

Multidimensionality and Item Bias in Item Response Theory

Multidimensionality and Item Bias in Item Response Theory This paper demonstrates empirically how item bias indexes based on item response theory (IRT) identify bias that results from multidimensionality. When a test is multidimensional (MD) with a primary trait and a nuisance trait that affects a small portion of the test, item bias is defined as a mean difference on the nuisance trait between two groups. Results from a simulation study showed that although IRT-based bias indexes clearly distinguished multidimensionality from item bias, even with the presence of a between-group dif ference on the primary trait, the bias detection rate depended on the degree to which the item measured the nuisance trait, the values of MD discrimination, and the number of MD items. It was speculated that bias defined from the MD perspective was more likely to be detected when the test data met the essential unidimensionality assumption. Index http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Applied Psychological Measurement SAGE

Multidimensionality and Item Bias in Item Response Theory

Oshima, T.C.; Miller, M. David
Applied Psychological Measurement , Volume 16 (3): 12 – Sep 1, 1992
Download PDF
12 pages

Loading next page...
 
/lp/sage/multidimensionality-and-item-bias-in-item-response-theory-kNHVByv60S

References (30)

Publisher
SAGE
Copyright
Copyright © by SAGE Publications
ISSN
0146-6216
eISSN
1552-3497
DOI
10.1177/014662169201600304
Publisher site
See Article on Publisher Site

Abstract

This paper demonstrates empirically how item bias indexes based on item response theory (IRT) identify bias that results from multidimensionality. When a test is multidimensional (MD) with a primary trait and a nuisance trait that affects a small portion of the test, item bias is defined as a mean difference on the nuisance trait between two groups. Results from a simulation study showed that although IRT-based bias indexes clearly distinguished multidimensionality from item bias, even with the presence of a between-group dif ference on the primary trait, the bias detection rate depended on the degree to which the item measured the nuisance trait, the values of MD discrimination, and the number of MD items. It was speculated that bias defined from the MD perspective was more likely to be detected when the test data met the essential unidimensionality assumption. Index

Journal

Applied Psychological Measurement – SAGE

Published: Sep 1, 1992

There are no references for this article.