ERIC Number: EJ1051920
Record Type: Journal
Publication Date: 2015
Abstractor: As Provided
Reference Count: 27
A Methodology for Zumbo's Third Generation DIF Analyses and the Ecology of Item Responding
Zumbo, Bruno D.; Liu, Yan; Wu, Amery D.; Shear, Benjamin R.; Olvera Astivia, Oscar L.; Ark, Tavinder K.
Language Assessment Quarterly, v12 n1 p136-151 2015
Methods for detecting differential item functioning (DIF) and item bias are typically used in the process of item analysis when developing new measures; adapting existing measures for different populations, languages, or cultures; or more generally validating test score inferences. In 2007 in "Language Assessment Quarterly," Zumbo introduced the concept of Third Generation DIF. In the current article we introduce a new methodology, latent class logistic regression, for Zumbo's Third Generation DIF, whose foundation is a novel ecological model of item responding. The ecological model and the new statistical methodology are introduced, and a proof-of-concept is provided, in the context of an example of an international reading test focusing on DIF due to testing language. The new DIF framework is described and contrasted with other methods, "Mplus" code is provided, and the new method is shown to have potential for application in assessment.
Descriptors: Test Bias, Test Items, Holistic Approach, Models, Statistical Analysis, Reading Tests, International Programs, Item Response Theory, Regression (Statistics)
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Publication Type: Journal Articles; Reports - Evaluative
Education Level: N/A
Authoring Institution: N/A
Identifiers - Assessments and Surveys: Program for International Student Assessment