Mediation analyses are crucial for understanding the mechanisms through which interventions or theoretical constructs influence outcomes within nested structures, commonly found in education, psychology, and sociology. Recognizing the importance of these effects, designing and analyzing robust studies to detect them is essential. This dissertation…

This dissertation is a collection of three papers. The first is a conceptual paper, followed by two data analysis papers. All three papers examine the connection between structural equation models and regression models, and how one may better learn, research and apply structural equation models when structural equation models are thought of as…

Evidence suggests females' mathematics skills and abilities are not as well developed as males resulting in females being underrepresented in science, technology, engineering, and mathematics (STEM) career fields. In addition, self-directed learning readiness (SDLR) plays a role in academic performance, giving those with greater SDLR and…

As the demographics of the student population in the United States grow more culturally diverse, the need for culturally competent school psychologists becomes more evident. To meet the needs of a culturally diverse student population and their families, school psychologists must possess the knowledge and skills to provide culturally appropriate…

Pressures associated with accountability testing have resulted in a narrowing of both the curriculum and pedagogy that does not meet the needs of high ability learners. This study proposed that either a different measurement (an above-level computer adaptive assessment) or a different model (Tobit model) should be used to more accurately…

Data collection of IEP goals is an ongoing problem in special education (Blackwell & Rossetti, 2014; Codding, Skorron, & Pace, 2005, Sandall, Schwartz, & LaCroix, Ruble, McGrew, Wong, & Missall, 2018; Walton, 1985). Research shows that there are inconsistencies between belief and practice. Many educators acknowledge the importance…

This multi-component study assesses perceived mechanisms through which undergraduate and graduate college students use social media and learning management systems (LMS) through multiple regression path modelling. The literature review outlines current work related to investigating the mechanisms of learning through LMS and social media, and…

We study flexible Bayesian methods that are amenable to a wide range of learning problems involving complex high dimensional data structures, with minimal tuning. We consider parametric and semiparametric Bayesian models, that are applicable to both static and dynamic data, arising from a multitude of areas such as economics, finance and…