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ERIC Number: EJ974756
Record Type: Journal
Publication Date: 2012
Pages: 21
Abstractor: As Provided
Reference Count: 26
ISSN: ISSN-1530-5058
Modeling Item-Level and Step-Level Invariance Effects in Polytomous Items Using the Partial Credit Model
Gattamorta, Karina A.; Penfield, Randall D.; Myers, Nicholas D.
International Journal of Testing, v12 n3 p252-272 2012
Measurement invariance is a common consideration in the evaluation of the validity and fairness of test scores when the tested population contains distinct groups of examinees, such as examinees receiving different forms of a translated test. Measurement invariance in polytomous items has traditionally been evaluated at the item-level, corresponding to what is broadly referred to as differential item functioning. However, recent advances in the study of measurement invariance in polytomous items has documented the value in examining invariance at the level of each step of the polytomous item, referred to as differential step functioning. To date, little documentation exists of methodology that can simultaneously evaluate both item-level and step-level invariance effects using a common parametric model. In this article, we describe how to use the partial credit model to simultaneously evaluate item-level and step-level invariance effects. A simulation study as well as a large empirical example are presented to demonstrate the use of this methodology applied to a large-scale administration of a translated test. (Contains 5 tables and 1 figure.)
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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
Identifiers - Location: Canada