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Impacts Of Model Misspecification On Individual-Level Differential Item Functioning Detection In Multilevel Data Using Hierarchical Generalized Linear Model, Yue Yin
USF Tampa Graduate Theses and Dissertations
Hierarchical generalized linear modeling (HGLM) has become more and more popular in detecting differential item functioning (DIF) items in multilevel contexts due to its flexibility and efficiency. This dissertation aims to investigate and compare four different HGLM DIF detection models under various DIF conditions with multilevel data. Three studies were conducted in this dissertation. The first two studies were simulation studies and the third one was an empirical study. Simulation Study One compared the performance of two-level HGLM and three-level HGLM with the individual-level covariate (HGLM-IL) on detecting individual-level DIF items with two-level and three-level data structures. Simulation Study Two …