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Haimiao Yuan – ProQuest LLC, 2022
The application of diagnostic classification models (DCMs) in the field of educational measurement is getting more attention in recent years. To make a valid inference from the model, it is important to ensure that the model fits the data. The purpose of the present study was to investigate the performance of the limited information…
Descriptors: Goodness of Fit, Educational Assessment, Educational Diagnosis, Models
Yildiz, Mustafa – ProQuest LLC, 2017
Student misconceptions have been studied for decades from a curricular/instructional perspective and from the assessment/test level perspective. Numerous misconception assessment tools have been developed in order to measure students' misconceptions relative to the correct content. Often, these tools are used to make a variety of educational…
Descriptors: Misconceptions, Students, Item Response Theory, Models
Zheng, Chunmei – ProQuest LLC, 2013
Educational and psychological constructs are normally measured by multifaceted dimensions. The measured construct is defined and measured by a set of related subdomains. A bifactor model can accurately describe such data with both the measured construct and the related subdomains. However, a limitation of the bifactor model is the orthogonality…
Descriptors: Educational Testing, Measurement Techniques, Test Items, Models
Su, Yu-Lan – ProQuest LLC, 2013
This dissertation proposes two modified cognitive diagnostic models (CDMs), the deterministic, inputs, noisy, "and" gate with hierarchy (DINA-H) model and the deterministic, inputs, noisy, "or" gate with hierarchy (DINO-H) model. Both models incorporate the hierarchical structures of the cognitive skills in the model estimation…
Descriptors: Models, Diagnostic Tests, Cognitive Processes, Thinking Skills
Liu, Qian – ProQuest LLC, 2011
For this dissertation, four item purification procedures were implemented onto the generalized linear mixed model for differential item functioning (DIF) analysis, and the performance of these item purification procedures was investigated through a series of simulations. Among the four procedures, forward and generalized linear mixed model (GLMM)…
Descriptors: Test Bias, Test Items, Statistical Analysis, Models
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
Seo, Dong Gi – ProQuest LLC, 2011
Most computerized adaptive tests (CAT) have been studied under the framework of unidimensional item response theory. However, many psychological variables are multidimensional and might benefit from using a multidimensional approach to CAT. In addition, a number of psychological variables (e.g., quality of life, depression) can be conceptualized…
Descriptors: Test Length, Quality of Life, Item Analysis, Geometric Concepts