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ERIC Number: EJ983291
Record Type: Journal
Publication Date: 2012-Oct
Pages: 27
Abstractor: As Provided
ISBN: N/A
ISSN: N/A
EISSN: N/A
Available Date: N/A
Applying Multidimensional Item Response Theory Models in Validating Test Dimensionality: An Example of K-12 Large-Scale Science Assessment
Li, Ying; Jiao, Hong; Lissitz, Robert W.
Journal of Applied Testing Technology, v13 n2 Oct 2012
This study investigated the application of multidimensional item response theory (IRT) models to validate test structure and dimensionality. Multiple content areas or domains within a single subject often exist in large-scale achievement tests. Such areas or domains may cause multidimensionality or local item dependence, which both violate the assumptions of the unidimensional IRT models currently used in many statewide large-scale assessments. An empirical K-12 science assessment was used as an example of dimensionality validation using multidimensional IRT models. The unidimensional IRT model was also included as the most commonly used model in current practice. The procedures illustrated in this real example can be utilized to validate the test dimensionality for any testing program once item response data are collected. (Contains 7 tables and 4 figures.)
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Publication Type: Journal Articles; Reports - Research
Education Level: Elementary Secondary Education
Audience: N/A
Language: English
Sponsor: N/A
Authoring Institution: N/A
Grant or Contract Numbers: N/A
Author Affiliations: N/A