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…

Latent change score (LCS) models are a powerful class of structural equation modeling that allows researchers to work with latent difference scores that minimize measurement error. LCS models define change as a function of prior status, which makes it well-suited for modeling developmental theories or processes. In LCS models, like other latent…

Piecewise latent growth modeling (PLGM) is a class of longitudinal models using a structural equation modeling framework to describe stage-like, discontinuous change of individuals over time. PLGM breaks the overall time window into non-overlapped segments where separate functions can be fitted to represent differential growth patterns for each…

Graph Signal Processing (GSP) plays a crucial role in addressing the growing need for information processing across networks, especially in tasks like supervised classification. However, the success of GSP in such tasks hinges on accurately identifying the underlying relational structures, which are often not readily available and must be inferred…

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…

There has been extensive research into the underrepresentation of minoritized students in STEM disciplines since the 1990s with limited success in improving the representation of Black women in math-intensive STEM fields. This dissertation aims to address how the guiding tenets of critical quantitative (QuantCrit) methods work when used with…

Meta-analytic Structural Equation Modeling (MASEM) is the combination of meta-analysis (MA) and structural equation modeling (SEM). With new MASEM methodologies developed over the past few years, there is an opportunity to compare the past approaches with the new ones. The purpose of this dissertation is two-fold. First, the parameter estimates,…

It is indeed a fact that diversity helps to build a better economy, and diverse businesses are proven to be healthier and more successful, but the lack of diversity in the workforce and educational environment, shows that the pipeline is not moving Latinx people enough. Latinx community is the largest minoritized community in the United States,…

The gap in supply (i.e., shortage) and demand of the STEM workforce have prompted extensive research on identifying factors that predict STEM outcomes and retention of students. Few studies, however, have examined the relationships between STEM outcomes and predictors in an integrated model, taking into account measurement errors in the…

Educational researchers are often interested in phenomena that unfold over time within a person and at the same time, relationships between their characteristics that are stable over time. Since variables in a longitudinal study reflect both within- and between-person effects, researchers need to disaggregate them to understand the phenomenon of…

This study examined how personal, behavioral and environmental factors influenced educational outcomes of Black collegians at predominately white institutions in the south. Specifically, 11 institutions are represented in this study from Alabama, Florida, Georgia, Mississippi, North Carolina, South Carolina and Virginia. The purpose of this study…

The present cross-sectional study examined the interrelationships between mindfulness, self-compassion, gratitude, and burnout in a sample of Health Service Psychology doctoral trainees (n = 234) using structural equation modeling. Results suggested that mindfulness, self-compassion, and gratitude may each function as important internal resources…

This dissertation implements self-determination theory to examine learning environments conducive to student motivation in higher education. Specifically, this work is concerned with measuring the satisfaction and frustration of students' three basic psychological needs (BPNs), the need for autonomy, relatedness, and competence (ARC). To do so,…

Student success is often treated as an observed variable, or something that you can measure directly with a single instrument. Single course outcomes such as final course grade or learning gain on an assessment have become synonymous with success in undergraduate science education research. Continually relying on these narrow course outcomes to…

Every student comes into each classroom with a unique mathematical identity. Mathematical identity consists of the stories about a person's confidence, beliefs, and persistence with mathematics as told by her/himself or by others (Gweshe & Brodie, 2019). Identity is not fixed (Dweck & Yeager, 2019; Wenger, 1998) and is dynamic within a…