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Full-Text Articles in Quantitative Psychology
Investigating The Fit Of The Generalized Graded Unfolding Model (Ggum) When Calibrated To Irt Generated Data From Dominance And Ideal Point Models, Abdulla Alzarouni
Investigating The Fit Of The Generalized Graded Unfolding Model (Ggum) When Calibrated To Irt Generated Data From Dominance And Ideal Point Models, Abdulla Alzarouni
College of Education and Human Sciences: Dissertations, Theses, and Student Research
The assessment of model fit in latent trait modelling, better known as item response theory (IRT), is an integral part of model testing if one is to make valid inferences about the estimated parameters and their properties based on the selected IRT model. Though important, the assessment of model fit has been less utilized in IRT research than it should. For example, there have been less research investigating fit for polytomous dominance models such the Graded Response Model (GRM), and to a lesser extent ideal point models such as the Generalized Graded Unfolding Models (GGUM), both in its dichotomous and …
Getting Caught-Up In The Process: Does It Really Matter?, Nikole Gregg
Getting Caught-Up In The Process: Does It Really Matter?, Nikole Gregg
Dissertations, 2020-current
Likert items are the most commonly used item-type for measuring attitudes and beliefs. However, responses from Likert items are often plagued with construct-irrelevant variance due to response style behavior. In other words, variability from Likert-item scores can be parsed into: 1) variance pertinent to the construct or trait of interest, and 2) variance irrelevant to the construct or trait of interest. Multidimensional Item Response Theory (MIRT) is an increasingly common modeling approach to parse out information regarding the response style traits and the trait of interest. These MIRT approaches are categorized into threshold-based approaches and response process approaches. An increasingly …