The decline in doctoral program completion has become one of the main challenges in doctoral education worldwide. As concern about this issue grows, the number of studies examining the topic has also increased. Many of these studies, which aim to identify the factors that contribute to high attrition rates, rely on cross-sectional data and often…

We conducted a study of predictive analytics (PA) applied to state data on post-school outcomes (PSO) of exited high-school students with disabilities (SWD). Data analyses with machine learning Random Forest algorithm and multilevel Bayesian ordered logistic regression produced two key findings. One, Random Forest models were accurate in…

Organized sports are among the most common youth activities in the United States, and athletic coaches can often become important mentors to their players. Nonetheless, few studies have examined the characteristics of youth who form mentoring relationships with coaches and whether such relationships are associated with later academic outcomes.…

Predicting student's successful completion of academic programs and the features that influence their performance can have a significant effect on improving students' completion, and graduation rates and reduce attrition rates. Therefore, identifying students are at risk, and the courses where improvements in content, delivery mode, pedagogy, and…

This study analyzed the post-high school outcomes of exited high-school students with intellectual disability and autism spectrum disorder from a southwestern U.S. state. A predictive analytics approach was used to analyze these students' post-high school outcomes data, which every state is required to collect each year under U.S.…

The effects of childhood adversity on health and socioemotional outcomes have received increasing examination in recent years. However, the impact of childhood adversity on academic outcomes has garnered little attention. This study aimed to explore the effects of adverse childhood experiences (ACEs) on college graduation rates and whether…

The first-year seminar (FYS) has been widely implemented at colleges and universities as a strategy for facilitating student success. However, empirical evidence indicates that the observed effects of FYS on retention and academic performance are mixed. Drawing on data from first-time full-time degree-seeking cohorts from Fall 2010 through Fall…

This observational, quantitative longitudinal study examined the retention gap among students studying exclusively online and those studying on-campus and compared variables related to outcomes and the completion rates of students at one private, non-profit, four-year university Master of Public Health Program (MPH) in the Midwest. It was unknown…

With state resources for higher education under constant pressure, it is critical to understand how to maximize institutional performance while being economical with resource allocation. Future workforce demands will call for an increasing number of those entering the workforce to have some form of higher education instruction, beyond their…

Predicting and understanding different key outcomes in a student's academic trajectory such as grade point average, academic retention, and degree completion would allow targeted intervention programs in higher education. Most of the predictive models developed for those key outcomes have been based on traditional methodological approaches.…

In this study, we investigated how environmental, cognitive, and demographic variables influenced students' ability to graduate from a 4-year university in 4 years. Specifically, we examined how behaviors related to social cognitive career theory (i.e., self-efficacy, outcome expectations, and academic goals) were influenced by contextual…

Childhood adversities tend to impact development in a cumulative way. However, extant research on childhood adversities has focused on a variable-centered approach to examine the cumulative effect of adversity. Using Latent Class Analysis (LCA) and adopting a pattern-centered approach, the authors investigate how different youth may experience…

This quantitative research study considered three academic factors, seven student-level variables, and four success measures across ten years of academic data related to undergraduate remedial mathematics beginning with the 2009-2010 academic year and ending with the 2018-2019 academic year. Secondary data was used to determine if there was a…

This study explored science, mathematics, and general academic factors that predicted outcomes for community college students (N = 3052) in a regional institution. A binary logistic regression was performed to determine significant independent variables contributing to successful outcomes (graduation or transfer) vs. non-completion. Transcript…

We use longitudinal data on high school students in Washington State to assess the relationships between English Language Arts (ELA) teacher value added and other qualifications and the high school and postsecondary outcomes of their students. We also investigate whether these relationships differ for students with and without disabilities. We…