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Quantitative Psychology Commons

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Full-Text Articles in Quantitative Psychology

Statistical Mediation Analysis In Regression Discontinuity Design For Causal Inference, Donna Chen Dec 2021

Statistical Mediation Analysis In Regression Discontinuity Design For Causal Inference, Donna Chen

College of Education and Human Sciences: Dissertations, Theses, and Student Research

Regression discontinuity designs (RDDs) are the most robust quasi-experimental design, but current statistical models are limited to estimates for the simple causal relationship between only two variables: the independent and dependent variables. In practice, intervening variables (or mediators) are often observed as part of the causal chain. Mediators explain the why and how a treatment or intervention works. Therefore, mediation and RDD analysis combined can be a useful tool in identifying key components or processes that make intervention programs effective while making causal inferences for improving student achievement, despite natural constraints, limitations, and ethical considerations. Without an integrated framework of …


Investigating The Fit Of The Generalized Graded Unfolding Model (Ggum) When Calibrated To Irt Generated Data From Dominance And Ideal Point Models, Abdulla Alzarouni Jul 2021

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 …