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Using Logistic Regression Model to Identify Student Characteristics to Tailor Graduation Initiatives
Chatterjee, Ayona; Marachi, Christine; Natekar, Shruti; Rai, Chinki; Yeung, Fanny – College Student Journal, 2018
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…
Descriptors: Regression (Statistics), Student Characteristics, Graduation, Probability
Jim Rost; Anita Carol Swayze; Janet McCormick – Experiential Learning and Teaching in Higher Education, 2023
A large American university in the southeastern United States has infused experiential learning into academic courses to create a national model that is both sustainable and replicable. The EXL Scholars Program has consistently shown growth and significant positive outcomes by providing students with opportunities for hands-on experiences in their…
Descriptors: Graduation Rate, Experiential Learning, Undergraduate Students, Service Learning
Thu D. Pham; Levon E. Blue; Angela Baeza; Peter J. Anderson; Congcong Xing; Melanie Saward – Student Success, 2025
The number of Aboriginal and Torres Strait Islander students enrolled at universities continues to increase; however, completion rates have not. In this study, we sought to understand what contributes to university completion rates by Indigenous Australian students. We employed a mixed-method approach, utilising the higher education success factor…
Descriptors: Foreign Countries, Indigenous Populations, Minority Group Students, College Students
Giani, Matt S.; Attewell, Paul; Walling, David – Texas Education Research Center, 2021
Despite advances made in broadening access to higher education, some evidence suggests that college completion rates have actually declined over time, and attainment gaps stemming from race/ethnicity and socioeconomic background have remained stubbornly persistent (Bound, Lovenheim, & Turner, 2010; National Center for Education Statistics,…
Descriptors: Access to Education, Higher Education, Graduation Rate, Academic Persistence
Chen Zong; Alan Davis – Journal of College Student Retention: Research, Theory & Practice, 2024
This study aimed to replicate, revise, and validate the model of Institutional Performance in Graduation Rate developed by Fung based on Tinto and Astin theories. The sample included 706 public, 4-year, Title IV postsecondary institutions in the United States. Two CFA-SEM models were conducted with the IPEDS 2011-2017 data. The relationships among…
Descriptors: Models, College Students, School Holding Power, Academic Persistence
Coleman, Chad; Baker, Ryan S.; Stephenson, Shonte – International Educational Data Mining Society, 2019
Determining which students are at risk of poorer outcomes -- such as dropping out, failing classes, or decreasing standardized examination scores -- has become an important area of research and practice in both K-12 and higher education. The detectors produced from this type of predictive modeling research are increasingly used in early warning…
Descriptors: Prediction, At Risk Students, Predictor Variables, Elementary Secondary Education
Qin, Lu; Phillips, Glenn Allen – International Journal of Higher Education, 2019
The 3-year graduation rate is a rarely measured metric in higher education compared to its 4- or 6- year graduation rate counterparts. For the first time in college (FTIC) students to graduate in three years, they must come with certain skills, abilities, plans, supports, or motivations. This project considers two distinct but interrelated ways of…
Descriptors: Graduation Rate, Time to Degree, College Credits, Grade Point Average
Pursel, B. K.; Zhang, L.; Jablokow, K. W.; Choi, G. W.; Velegol, D. – Journal of Computer Assisted Learning, 2016
Massive open online courses (MOOCs) continue to appear across the higher education landscape, originating from many institutions in the USA and around the world. MOOCs typically have low completion rates, at least when compared with traditional courses, as this course delivery model is very different from traditional, fee-based models, such as…
Descriptors: Online Courses, Graduation Rate, Delivery Systems, Models
Huang, Liuli; Roche, Lahna R.; Kennedy, Eugene; Brocato, Melissa B. – International Journal of Higher Education, 2017
Many researchers have explored the relationships between the likelihood of graduating from college and demographic and pre-college factors such as gender, race/ethnicity, high school grade point average (GPA), and standardized test scores. However, additional factors such as a student's college major, home address, or use of learning support in…
Descriptors: Graduation Rate, Predictor Variables, Predictive Measurement, Predictive Validity
Izumi, Masashi; Shen, Jianping; Xia, Jiangang – Education and Urban Society, 2015
In this study we investigated determinants of the graduation rate of public alternative schools by analyzing the most recent, nationally representative data from Schools and Staffing Survey 2007-2008. Based on the literature, we built a series of three regression models via successive block entry, predicting the graduate rate first by (a) student…
Descriptors: Nontraditional Education, Public Schools, Graduation Rate, Predictor Variables
Morrison, Michael C. – Journal of College Student Retention: Research, Theory & Practice, 2013
Graduation outcomes are analyzed at public and private baccalaureate colleges and universities in the United States. The purpose is to determine the effect of institutional characteristics on a binary indicator of college graduation. The effect of the percentage of Pell grant recipients on graduation outcomes is of primary interest, controlling…
Descriptors: Grants, Private Colleges, Institutional Characteristics, Universities
Raju, Dheeraj; Schumacker, Randall – Journal of College Student Retention: Research, Theory & Practice, 2015
The study used earliest available student data from a flagship university in the southeast United States to build data mining models like logistic regression with different variable selection methods, decision trees, and neural networks to explore important student characteristics associated with retention leading to graduation. The decision tree…
Descriptors: Student Characteristics, Higher Education, Graduation Rate, Academic Persistence
Bergman, Mathew; Gross, Jacob P. K.; Berry, Matt; Shuck, Brad – Journal of Continuing Higher Education, 2014
Roughly half of all undergraduate students in the United States fail to persist to degree completion (American College Testing [ACT], 2010; Tinto, 1993; U.S. Department of Education, National Center for Education Statistics, 2013). Adult students often have higher levels of attrition than traditional-age students (Justice & Dornan, 2001;…
Descriptors: Adult Students, Academic Achievement, Nontraditional Students, Educational Attainment
Alon, Sigal – Russell Sage Foundation, 2015
No issue in American higher education is more contentious than that of race-based affirmative action. In light of the ongoing debate around the topic and recent Supreme Court rulings, affirmative action policy may be facing further changes. As an alternative to race-based affirmative action, some analysts suggest affirmative action policies based…
Descriptors: Race, Social Class, Affirmative Action, Models
Kalleberg, Arne L.; Dunn, Michael – Center for Analysis of Postsecondary Education and Employment, 2014
The extent to which community college students experience labor market success depends on both the attributes of the individual students and the characteristics of the community colleges they attend. In this paper, we examine the impact of community college characteristics on the earnings of first-time college students who enrolled in the North…
Descriptors: Community Colleges, Two Year College Students, Labor Market, Institutional Characteristics