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Samonte, Kelli Marie – ProQuest LLC, 2017
Longitudinal data analysis assumes that scales meet the assumption of longitudinal measurement invariance (i.e., that scales function equivalently across measurement occasions). This simulation study examines the impact of violations to the assumption of longitudinal measurement invariance on growth models and whether modeling the invariance…
Descriptors: Test Bias, Growth Models, Longitudinal Studies, Simulation
Kim, Jihye – ProQuest LLC, 2010
In DIF studies, a Type I error refers to the mistake of identifying non-DIF items as DIF items, and a Type I error rate refers to the proportion of Type I errors in a simulation study. The possibility of making a Type I error in DIF studies is always present and high possibility of making such an error can weaken the validity of the assessment.…
Descriptors: Test Bias, Test Length, Simulation, Testing
Qian, Hong – ProQuest LLC, 2013
This dissertation includes three essays: one essay focuses on the effect of teacher preparation programs on teacher knowledge while the other two focus on test-takers' response times on test items. Essay One addresses the problem of how opportunities to learn in teacher preparation programs influence future elementary mathematics teachers'…
Descriptors: Teacher Education Programs, Pedagogical Content Knowledge, Preservice Teacher Education, Preservice Teachers