Multivariate count data is ubiquitous in many areas of research including the physical, biological, and social sciences. These data are traditionally modeled with the Dirichlet Multinomial distribution (DM). A new, more flexible Dirichlet-Tree Multinomial (DTM) model is gaining in popularity. Here, we consider Bayesian DTM regression models. Our…

Over the last four decades, meta-analysis has proven to be a vital analysis strategy in educational research for synthesizing research findings from different studies. When synthesizing studies in a meta-analysis, it is common to assume that the true underlying effect varies from study to study, as studies will differ in design, participants,…

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…

The purpose of this study was to examine of stereotype vulnerability, sense of belonging and campus climate for African American college students at a Predominately White Institution (PWI) in the Southeast. This research used a sociocultural model to explore African American student perceptions at a PWI in the southeast of the United States. This…

The topic of this study was student motivation and intention to graduate at a for-profit university. The research problem addressed is only 23% of bachelor's degree-seeking students at for-profit universities persist to graduate within six years. Students who leave without graduating incur more debt and earn less money over time. Grounded in an…

Researchers, institutional leaders, government policy makers, and leading foundations note the significant role an educated Latina/o population plays in the nation, future workforce, and democracy. This longitudinal study examines the experiences in U.S. colleges and universities that prepare Latina/o students for participation in American…

This study examines the leadership behaviors and conditions for creating knowledge present during mentoring between mentee principals and mentor principals. Using a survey instrument, 511 mentee principal respondents provided information on the extent of co-creating leadership dispositions, conditions for knowledge creation, and modes of knowledge…

This quantitative cross-sectional study examines the overall attitudes of a sample of Arab Americans toward persons with disabilities. A convenience sample of 372 Arab Americans was recruited from various not-for-profit Arab organizations within 30 States. Participants in the study completed an online self-administered (Qualtrics) survey that…

This study presents an examination of how institutional characteristics might influence a four-year institution of higher education's achievement in sustainability, as measured by the Sustainability Tracking, Assessment, and Rating System (STARS). Specifically, it examined the potential role Carnegie classification, sector, location, number of…

Leadership and school culture are two factors that have a great impact in schools today. Much research has focused on leaders, but more is needed on the culture of schools. Improving both elements of leadership and school culture may also increase other challenges that schools face such as student achievement. The purpose of this study was to…

Adelman (2006) observed that a large quantity of research on retention is "institution-specific or use institutional characteristics as independent variables" (p. 81). However, he observed that over 60% of the students he studied attended multiple institutions making the calculation of institutional effects highly problematic. He argued…

Since the publication of the "College Scorecard" by The U.S. Department of Education in 2015, comparisons between college attendance costs and institutional outcomes (i.e., graduation rates, post-graduation earnings) have come into sharp focus. This increased scrutiny requires institutions of higher learning to be more transparent about…

The dissertation deals with clustering algorithms and transforming regression problems into classification problems. The main contributions of the dissertation are twofold; first, to improve (speed up) the clustering algorithms and second, to develop a strict learning environment for solving regression problems as classification tasks by using…

The purpose of this study was to investigate whether high student accountability and formative assessment affected student motivation, learning and resource management strategies, and achievement in developmental algebra I. The setting was a fifteen-week semester at a community college in suburban New York. Two sections of developmental algebra I…

The educational system in the United States continues to pose many challenges for law and policy makers. Many of these challenges can be traced back to two landmark cases, "Plessy vs. Ferguson" and "Brown vs. Board of Education of Topeka." And, while the U.S. Department of Education developed programs to address many of these…