Education Commons^™

Detection Of Gender-Related Differential Item Functioning (Dif) In The Mathematics Subtests In Turkey, Zeynep Merve Sapmaz

USF Tampa Graduate Theses and Dissertations

The main goal of this study was to investigate differential item functioning by gender in the Fundamental Mathematics (FMS) and Mathematics subtests (MS) of the MSPC-2018 Higher Education Institutions Examination. Each test consists of 40 items and for both subtests random samples of 10.000 students were received from the MSPC separately. To compare non-IRT (Classical Test Theory) and Item Response Theory (IRT) approaches, Cochran-Mantel-Haenszel (C-M-H), Logistic Regression (LR), and 2-PL IRT-LR statistics were used.

For the FMS, C-M-H, LR, and 2-PL IRT-LR procedures identified 18, 16, and 10 out of 40 items that had DIF, respectively. Based on the non-IRT …

Statistical Models To Test Measurement Invariance With Paired And Partially Nested Data: A Monte Carlo Study, Diep Thi Nguyen

USF Tampa Graduate Theses and Dissertations

While assessing emotions, behaviors or performance of preschoolers and young children, scores from adults such as parent psychiatrist and teacher ratings are used rather scores from children themselves. Data from parent ratings or from parents and teachers are often nested such as students are within teachers and a child is within their parents. This popular nested feature of data in educational, social and behavioral sciences makes measurement invariance (MI) testing across informants of children methodologically challenging. There was lack of studies that take into account the nested structure of data in MI testing for multiple adult informants, especially no simulation …

Exploring The Behavior Of Model Fit Criteria In The Bayesian Approximate Measurement Invariance: A Simulation Study, Abeer Atallah S. Alamri

USF Tampa Graduate Theses and Dissertations

Measurement invariance (MI) is conducted to ensure that differences found in the results of group comparisons are due to true substantive differences and not methodological artifacts. Previous cross-cultural and cross-national studies with large number of groups showed that the advanced measurement invariance level was rarely held when utilizing the traditional (frequentist) MI approach. The Bayesian approximate measurement invariance (BAMI) was introduced to override the traditional MI strict assumption, because trivial non-invariance in parameters across groups is allowed. Although the concept of the BAMI, which has been utilized since 2013, was incorporated into the context of structural equation modeling, there is …