Global ETD Search
Search theses and dissertations gathered from participating repositories worldwide. Every result links back to the library that holds it. No account is needed.
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Showing 1 to 10 of 10 for “"DIF detection"”.
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An in-depth analysis of DIF detection methods and equating techniques for valid test scores
Submission published under a 24 month embargo labeled 'Closed Access', the embargo will last until 2025-08-01
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Effect of Unequal Sample Sizes on the Power of DIF Detection: An IRT-Based Monte Carlo Study with SIBTEST and Mantel-Haenszel Procedures
… of SIBTEST and Mantel-Haenszel procedures for detection of DIF of moderate and large magnitudes. Item parameters were estimated by, and generated with the 2PLM using WinGen2 (Han, 2006). MULTISIM was used to simulate ability estimates and to generate response data that were analyzed by SIBTEST. …
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Assessing Robustness of the Rasch Mixture Model to Detect Differential Item Functioning - A Monte Carlo Simulation Study
… across subgroups; in other words, the mean differences among subgroups are only due to true latent ability differences. Differential item functioning (DIF) occurs when measurement invariance is violated. There are two kinds of traditional tools for DIF detection: non-parametric methods and …
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Comparison of the Item Response Theory with Covariates Model and Explanatory Cognitive Diagnostic Model for Detecting and Explaining Differential Item Functioning
… in several ways, including the examination of differential item functioning (DIF). An item exhibits DIF if a subgroup has a lower probability of answering an item correctly than another subgroup after matching on academic achievement. Subgroups include race, spoken language, disability status, …
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Selecting an Optimal Measurement Model and Detecting Differential Item Functioning Using Bayesian Confirmatory Factor Analysis
… constrained parameter estimates in detecting differential item functioning (DIF). I assessed the relative efficiency of WAIC compared to DIC, evaluated analytical WAIC SEs by calculating relative bias, and reported how often WAIC and DIC indicated a preference for each invariance model. I …
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Gender and Ethnicity-Based Differential Item Functioning on the Myers-Briggs Type Indicator
… the Myers-Briggs Type Indicator (MBTI) for differential item functioning (DIF) on the basis of crossed gender and ethnicity variables. White males were the reference group, and the focal groups were: black females, black males, and white females. The MBTI was predicted to show DIF in all …
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Towards establishing the equivalence of the English version of the verbal analogies scale of the Woodcock Munuz Language Survey across English and Xhosa first language speakers
… speakers. This was achieved by utilising differential item functioning (DIF) and construct bias statistical techniques. The Mantel-Haenszel DIF detection method was employed to detect DIF, while construct equivalence was examined by means of exploratory factor analysis (EFA) utilising an a …
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An Automated Test Assembly Approach Using Item Response Theory to Enhance Evidence of Measurement Invariance
… model fit while simultaneously accounting for differing measurement models between two groups. Three Monte Carlo studies were designed to evaluate the proposed method (termed “Unbiased-ATA”). The first study found that in many testing scenarios, Unbiased-ATA appropriately constructed tests with …
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An Examination of the Improved Wald Test for Differential Item Functioning Detection with Multiple Groups
Methods for identifying items that function differentially (DIF) across groups have over time become increasingly essential for establishing validity in psychometric testing. There is a vital need for simultaneously comparing multiple groups, evidenced by the widespread proliferation of …
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Toward Culturally Responsive and Equitable Testing: Innovative Psychometric Analyses on Contextualized Measurement and Adaptive Testing
… bias, linguistic bias, and others with item difficulty and differential item functioning (DIF) parameters. The second study implemented a Bayesian hierarchical explanatory item response model on a physics contextualized assessment. It examined the statistical relationships between the …