Research conducted on transfer student outcomes consistently shows that there is a bachelor's degree completion gap between transfer students and nontransfer students. Researchers have explored several factors thought to impact bachelor's degree completion for transfer students, including demographic characteristics, number of credit hours…

Background/Context: The application of statistical modeling techniques to high-dimensional educational data presents methodological challenges, particularly the study of student transfer between higher education institutions. Over 13% of new college students each year are transfer students (National Student Clearinghouse Research Center, 2025) and…

The present study examined demographic and academic predictors of astronomy performance among a cohort of N=1909 community college students enrolled in astronomy courses in a large suburban community college during a four-year time frame, 2015-2019. The theoretical framework was based upon a deconstructive approach for predicting community college…

Public higher education institutions in South Africa conduct Student Representative Council (SRC) elections yearly. However, there is a paucity of studies to determine factors that affect voter turnout in these elections. This descriptive quantitative study conducted an empirical analysis of factors influencing students' voter participation at…

This study aimed at identifying and describing patterns of sports participation during high school among a general population of students and examining individual, social, and environmental predictors of pattern membership. A sample of 287 high school students (61% girls) from Quebec (Canada) annually reported all the organized sports in which…

This paper studies how both direct and indirect assessment outcomes can determine how students are learning different concepts in business statistics. We explore connections between the outcomes from the two assessment approaches and how different student characteristics and background factors impact these two methods of assessment. The results…

Guided by the notion of academic momentum, this study drew data from longitudinal transcript records at a large public 4-year research university and examined factors that specifically contribute to community college transfer students' academic momentum. It also explored how early academic momentum along with students' sociodemographic…

Multilevel Rasch models are increasingly used to estimate the relationships between test scores and student and school factors. Response data were generated to follow one-, two-, and three-parameter logistic (1PL, 2PL, 3PL) models, but the Rasch model was used to estimate the latent regression parameters. When the response functions followed 2PL…

Contribution: This study applies supervised and unsupervised machine learning (ML) techniques to discover which significant attributes that a successful learner often demonstrated in a computer course. Background: Students often experienced difficulties in learning an introduction to computers course. This research attempts to investigate how…

Statistics education is an important component of allied health education. Although success in statistics courses has been reported for students in fields such as business, nursing and psychology, there is a dearth of literature in students of other allied health science disciplines. As statistics is a gatekeeper course for many of these…

This study aimed to map and tests the factors that influence online learning success in the COVID-19 era in Islamic Religious Higher Education in the West Papua region. Factors to be analyzed are student characteristics, internal motivation, instructor characteristics, quality of institutions and services, infrastructure and system quality,…

The negative consequences associated with out-of-school suspension (OSS) are widely recognized, yet its commonly utilized counterpart, in-school suspension (ISS), has received little attention. This study examined school and student characteristics that predicted ISS and its links to academic outcomes, using the nationally representative High…

Purpose: Educational institutions are caught between increasing their offer rates and attracting and retaining those prospective students who are most suited to course completion. The purpose of this paper is to demonstrate the influence of demographic and psychological constructs on students' preferences when choosing to study in a particular…

Improving graduation rates is one of the biggest missions in many universities across the country and it is surely the case on the campus of this institution. The work here presents a statistical tool box to use early academic performance as a predictor for graduation with logistic regression and machine learning techniques. The methods described…

This study models graduation rates at 4-year broad access institutions (BAIs). We examine the student body, structural-demographic, and financial characteristics that best predict 6-year graduation rates across two time periods (2008-2009 and 2014-2015). A Bayesian model averaging approach is utilized to account for uncertainty in variable…