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Struble, Kevin Daniel – ProQuest LLC, 2023
This study investigated whether instructional modality in an undergraduate degree program, either traditional on-campus or asynchronous online, and racial/ethnic group could predict students' reports of satisfaction with the institution, retention year-over-year, and graduation within an eight-year award rate. Data from surveys and enrollment…
Descriptors: Undergraduate Students, Student Satisfaction, School Holding Power, Teaching Methods
Smith, Natasha L.; Grohs, Jacob R.; Van Aken, Eileen M. – Journal of Engineering Education, 2022
Background: Increasing the persistence of engineering transfer students can help meet the US national priority of increasing the number of engineering graduates. Many transfer students experience a decrease in their grade point average (GPA) at their receiving institution, known as transfer shock, which can lead to them leaving the institution.…
Descriptors: College Transfer Students, Graduation Rate, Academic Persistence, Engineering Education
Addison, Letetia; Williams, Densil – Higher Education, Skills and Work-based Learning, 2023
Purpose: This paper aims to provide a parsimonious but rigorous model to assist decision-makers to determine critical factors which can lead to higher graduation rates amongst higher education institution (HEI) participants. It predicts the odds of dropout amongst university students, using HEI data from a developing country. This is used as a…
Descriptors: Prediction, School Holding Power, College Students, Graduation Rate
Willoughby, Teena; Dykstra, Victoria W.; Heffer, Taylor; Braccio, Joelle; Shahid, Hamnah – Journal of College Student Retention: Research, Theory & Practice, 2023
Despite the importance of obtaining a university degree, retention rates remain a concern for many universities. This longitudinal study provides a multi-domain examination of first-year student characteristics and behaviors that best predict which students graduate. Graduation status was assessed seven years after students entered university.…
Descriptors: Longitudinal Studies, Prediction, Graduation, Dropouts
Nicholas Urquhart; Juliann Sergi McBrayer; Cordelia Zinskie; Richard Cleveland – Journal of Applied Research in Higher Education, 2024
Purpose: This research examine participation in a dual enrollment program and a student's race and socioeconomic status. In addition to examining the college retention and graduation rates (student success) of dual and non-dual enrolled students, this study looked at potential race and socioeconomic disparities. Design/methodology/approach: A…
Descriptors: Dual Enrollment, Academic Persistence, Race, Socioeconomic Status
Brynn L. Munro; Juliann Sergi McBrayer; Antonio P. Gutierrez de Blume; Pamela Wells – Georgia Journal of College Student Affairs, 2024
Currently, roughly one-third of college students fit the federal government's definition of first-generation college student status, meaning neither parent has earned a baccalaureate degree (RTI International, 2023). This study utilized archival data at an access institution in the southeastern United States in a causal-comparative study using…
Descriptors: Predictor Variables, School Holding Power, Academic Achievement, Graduation Rate
Shi, Qingmin; Crooker, John R.; Drum, Christina R.; Drake, Brent M. – Journal of The First-Year Experience & Students in Transition, 2021
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…
Descriptors: First Year Seminars, College Freshmen, Academic Achievement, Outcomes of Education
Shea, Peter; Bidjerano, Temi – International Review of Research in Open and Distributed Learning, 2018
Recent research indicates that certain students are at risk of lower levels of academic performance in online settings when compared to peers who study only in the classroom. Community college students have been a population of particular concern. In this paper, we hypothesize that online course load and institutional quality may impact outcomes…
Descriptors: Online Courses, Enrollment, Community Colleges, Graduation
Madaus, Joseph W.; Gelbar, Nicholas; Dukes, Lyman L., III.; Taconet, Ashley; Faggella-Luby, Michael – Career Development and Transition for Exceptional Individuals, 2021
Students with disabilities are entering college in increasing numbers. Despite the increase, college persistence and completion remains a troublesome hurdle. Evidence-based practices and predictors have been identified for secondary-level students with disabilities; however, a parallel classification does not exist for postsecondary education. The…
Descriptors: Predictor Variables, Students with Disabilities, College Bound Students, Academic Persistence
Greer, Christiaan; Chi, Cheng; Hylton-Patterson, Nicole – Journal of College Student Retention: Research, Theory & Practice, 2023
This longitudinal study evaluated the efficacy of a summer bridge program (SBP) and other support services on college graduation rates at a small liberal arts school in Purchase, NY. Financially disadvantaged students (n = 136) receiving a scholarship and a summer bridge curriculum within the Manhattanville Achievement Program were compared to…
Descriptors: Summer Programs, College Programs, Graduation Rate, Undergraduate Students
Morenike Adebodun – ProQuest LLC, 2020
The purpose of this study was to examine the predictive power of Academic and Learning Analytics models on the persistence, retention, and graduation rates for students enrolled in higher education institutions in the United States. Specifically, this study is concerned with the relationships between the present usage of Academic and Learning…
Descriptors: Predictor Variables, Learning Analytics, Academic Achievement, Higher Education
Erika R. Whittier – ProQuest LLC, 2021
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…
Descriptors: Electronic Learning, School Holding Power, In Person Learning, Outcomes of Education
Berzenski, Sara R. – Journal of College Student Retention: Research, Theory & Practice, 2021
This study examined graduation and persistence among social and behavioral science students at a regional comprehensive university. Hazard analyses identified predictors of student trajectories, times at which predictors were more or less impactful, and interactions between predictors such that particular risk factors were more detrimental for…
Descriptors: Graduation, Potential Dropouts, Predictor Variables, Academic Persistence
Musso, Mariel F.; Hernández, Carlos Felipe Rodríguez; Cascallar, Eduardo C. – Higher Education: The International Journal of Higher Education Research, 2020
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.…
Descriptors: Classification, Prediction, Artificial Intelligence, College Students
Mac Iver, Martha Abele; Stein, Marc L.; Davis, Marcia H.; Balfanz, Robert W.; Fox, Joanna Hornig – Journal of Research on Educational Effectiveness, 2019
Building on previous research showing how well ninth-grade student behaviors predict on-time high school graduation, this experimental study investigates the impact of a ninth-grade intervention on student attendance and course passing. The study, conducted in 41 geographically and demographically diverse high schools within a single state,…
Descriptors: High School Students, Grade 9, Predictor Variables, Graduation Rate