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…

This study introduces an approach that utilizes ten regression models to assist in the study of the relationship between predictors and a criterion as it pertains to group differences. The models range in complexity from a simple multiple regression model that assumes one size fits all, to a full moderated multiple regression model, where each…

Adult online learners represent the largest demographic in higher education. Academic leaders increasingly use non-designer instructors (NDIs) to meet demands. NDIs have little control over course design, part of teaching presence valued by learners. This quantitative, predictive correlational study investigated (1) to what frequency online…

Weight and eating disorder biases have been implicated as significant barriers to healthcare access and provision of appropriate care, potentially contributing to health disparities. Registered dietitians are vital constituents of multidisciplinary teams and a healthcare system dedicated to eliminating health disparities. However, research…

Intention to misuse information systems (IS) is a growing problem where employees of organizations are contributors to successful IS security breaches. Misuse of IS resources in organizations in the healthcare and pharmaceutical industries can affect patient care. Researchers investigated factors that influence changes in behavior regarding…

This study used the Motivated Strategies for Learning Questionnaire in modularized courses at three institutions across the nation (N = 189), and multiple regression was completed to investigate five categories of student motivation that predicted academic success and course completion. The overall multiple regression analysis was significant and…

Resource-based theory provided the theoretical foundation to investigate the extent that developer knowledge correlated to success of information technology (IT) development projects. Literature indicated there was a knowledge gap in understanding whether developer information system development, behavior and business knowledge contributed to IT…

Past research has examined the factors that can influence achievement motivation in ethnic minority, immigrant, first-generation, and low-income college students. Academic self-efficacy, acculturation, family obligation, and perceived social support have been identified as being relevant to college students' achievement motivation. However,…