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Full-Text Articles in Social and Behavioral Sciences
The Application Of Bayesian Meta-Analytic Models In Cognitive Research On Neurodevelopmental Disorders, Nic Zapparrata
The Application Of Bayesian Meta-Analytic Models In Cognitive Research On Neurodevelopmental Disorders, Nic Zapparrata
Dissertations, Theses, and Capstone Projects
Meta-analysis is the systematic review and quantitative synthesis of specific areas in literature and is an important quantitative tool for researchers interested in synthesizing a particular body of research. The current research used meta-analysis to investigate processing speed in two neurodevelopmental disorders. This dissertation consisted of four meta-analytic papers. The first paper was a meta-analysis that synthesized a large body of research on processing speed, measured via reaction time (RT) measures, in groups of individuals diagnosed with autism spectrum disorder (ASD) versus age-matched neurotypical comparison groups. This research was motivated by two previous meta-analyses in the literature on processing speed …
Using Bayesian Generalized Structural Equation Modeling To Analyze Latent Agreement, Sydne T. Mccluskey
Using Bayesian Generalized Structural Equation Modeling To Analyze Latent Agreement, Sydne T. Mccluskey
Dissertations, Theses, and Capstone Projects
Rater comparison analysis is commonly necessary in the social sciences. Conventional approaches to the problem generally focus on calculation of agreement statistics, which provide useful but incomplete information about rater agreement. Importantly, one-number agreement statistics give no indication regarding the nature of disagreements, nor do they distinguish between agreement on presence versus absence of a state or trait. Latent variable models can address both problems, as well as overcoming other well-documented limitations of agreement statistics (e.g., sample dependence, inappropriate population assumptions). Whether raters exactly agree is usually not the question of interest – researchers almost never care whether the difference …