The use of Mixed Methods (MM) in evaluation has increasingly become a valuable asset in evaluators' methodological toolbox. Despite prolific research on various aspects of mixed methods, from typologies to ontological debates, there remains a dearth of empirically derived evidence on effectively communicating MM findings. This lack of empirical…

In conducting confirmatory factor analysis with ordered response items, the literature suggests that when the number of responses is five and item skewness (IS) is approximately normal, researchers can employ maximum likelihood with robust standard errors (MLR). However, MLR can yield biased factor loadings (FL) and FL standard errors (FLSE) when…

This dissertation studies two distinct but equally essential industries: higher education and water utilities. In the context of higher education, I investigate the impact of subsidies on equilibrium prices and quality levels. For water utilities, I explore the differences between public and private providers in terms of productivity and…

One of the many impacts of the COVID-19 pandemic has been the increasing prevalence and accessibility of online education. This trend has also introduced challenges for students, instructors, and institutions. This study examines factors affecting online course satisfaction, focusing on individual, instructor, and institutional level…

The United States continues to grow in both population and diversity. The trigger for this project was the dramatic increase in patient diversity in Texas and the lack of adequate cultural competency training for providers at a Texas oncology clinic network. Clinicians must increase their self-awareness and knowledge to provide culturally…

The American school system is funded, operated, and evaluated based on student academic achievement data that is generated by various assessment tools and grading practices. The most traditional grading practice, norm-referenced grading, assesses student academic achievement on a 100-point scale that is further broken into categorical levels (A-F)…

The purpose of this descriptive analysis study was to investigate high school music teachers' levels of satisfaction with the teacher evaluation practices used by administrators and music supervisors in the Commonwealth of Virginia. Virginia high school music teachers (n = 76) were surveyed to collect data used to determine their levels of…

Instructional explanations are an ubiquitous component of classroom instruction, but are relatively neglected in science education when compared to other facets of teaching and learning. The ubiquity of instructional explanations and their potential to stimulate learning in students suggests that they should garner more attention from science…

This three-article dissertation explores Learning by Evaluating (LbE), an educational approach that enhances student learning through the process of assessing and providing feedback on peer work. Leveraging principles of comparative judgement, students evaluate pairs of exemplars side-by-side to determine which is better and provide a rational for…

This dissertation investigates the application of network models in educational assessment across diverse learning settings, encompassing both clinical and classroom environments. As educational paradigms shift and digital tools become more embedded in learning processes, traditional assessment methods often fall short in effectively capturing the…

Multilayer perceptron neural networks, Gaussian naive Bayes, and logistic regression classifiers were compared when used to make early predictions regarding one-year college student persistence. Two iterations of each model were built, utilizing a grid search process within 10-fold cross-validation in order to tune model parameters for optimal…

The purpose of this study was to compare undergraduate students' academic performance and attitudes about statistics in the context of two different types of assessment structures for an introductory statistics course. One assessment structure used in-class quizzes that emphasized computation and procedural fluency as well as vocabulary…

Analysis of second language (L2) learners' language development can allow valid and reliable assessment of the learners' L2 linguistic knowledge, which can enable the teachers and researchers to choose appropriate teaching or experimental materials (Bardovi-Harlig & Bofman, 1989; Wolfe-Quintero et al., 1997). However, most language development…

This dissertation study explored the feasibility of using authenticated spoken texts to test L2 Chinese listening comprehension. The spoken texts used in the study were created using an "authenticating" technique, in which scripted spoken Chinese texts were infused with characteristics of real-world, unscripted spoken Chinese. In the…

Data science is a broad, interdisciplinary field concerned with the extraction of knowledge or insights from data, with the classification of data as a core, fundamental task. One of the most persistent challenges faced when performing classification is the class imbalance problem. Class imbalance refers to when the frequency with which each class…