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ERIC Number: EJ1085496
Record Type: Journal
Publication Date: 2016
Pages: 13
Abstractor: As Provided
ISSN: ISSN-0895-7347
Analyzing Fairness among Linguistic Minority Populations Using a Latent Class Differential Item Functioning Approach
Oliveri, Maria Elena; Ercikan, Kadriye; Lyons-Thomas, Juliette; Holtzman, Steven
Applied Measurement in Education, v29 n1 p17-29 2016
Differential item functioning (DIF) analyses have been used as the primary method in large-scale assessments to examine fairness for subgroups. Currently, DIF analyses are conducted utilizing manifest methods using observed characteristics (gender and race/ethnicity) for grouping examinees. Homogeneity of item responses is assumed denoting that all examinees respond to test items using a similar approach. This assumption may not hold with all groups. In this study, we demonstrate the first application of the latent class (LC) approach to investigate DIF and its sources with heterogeneous (linguistic minority groups). We found at least three LCs within each linguistic group, suggesting the need to empirically evaluate this assumption in DIF analysis. We obtained larger proportions of DIF items with larger effect sizes when LCs within language groups versus the overall (majority/minority) language groups were examined. The illustrated approach could be used to improve the ways in which DIF analyses are typically conducted to enhance DIF detection accuracy and score-based inferences when analyzing DIF with heterogeneous populations.
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Publication Type: Journal Articles; Reports - Research
Education Level: N/A
Audience: N/A
Language: English
Sponsor: N/A
Authoring Institution: N/A
Identifiers - Location: Canada
Identifiers - Assessments and Surveys: Program for International Student Assessment
Grant or Contract Numbers: N/A