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Showing 1 to 15 of 18 results Save | Export
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Shaw, Melanie; Burrus, Scott; Ferguson, Karen – Online Journal of Distance Learning Administration, 2016
Research was conducted to explore predictors for online higher education student attrition. This research was conducted using results from the SmarterMeasure Learning Readiness Indicator to track students in their degree programs. In addition, student outreach was conducted with an experimental group of at-risk students to determine if additional…
Descriptors: Online Courses, Student Attrition, Performance Factors, Predictor Variables
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DeClou, Lindsay – Canadian Journal of Higher Education, 2016
Attrition from Canadian graduate programs is a point of concern on a societal, institutional, and individual level. To improve retention in graduate school, a better understanding of what leads to withdrawal needs to be reached. This paper uses logistic regression and discrete-time survival analysis with time-varying covariates to analyze data…
Descriptors: Foreign Countries, Graduate Study, Regression (Statistics), Graduate Students
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Bookallil, Cheryl; Rolfe, John – Australian Journal of Adult Learning, 2016
Enrolment in university enabling programs has expanded dramatically in the last decade as universities strive to increase enrolments, particularly of students from low socioeconomic backgrounds. Offering enabling study by distance education has been part of this expansion with the benefit of providing access to a wider enrolment base. The purpose…
Descriptors: Grade Point Average, Enrollment, Distance Education, Comparative Analysis
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Miller, Nathan Brad; Bell, Bryan – Journal of Continuing Higher Education, 2016
Increased federal attention to student completion metrics and uncertain financial forecasts have heightened the tenor of student retention conversations. Improved institutional retention rates will lead to higher completion rates and relieve some funding concerns. To accomplish these improvements, institutions have invested in analytics to better…
Descriptors: Academic Persistence, School Holding Power, Acceleration (Education), Communication Strategies
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Smith, Malcolm; Therry, Len; Whale, Jacqui – Higher Education Studies, 2012
This paper reports on the process involved in attempting to build a predictive model capable of identifying students at risk of failure in a first year accounting unit in an Australian university. Identifying attributes that contribute to students being at risk can lead to the development of appropriate intervention strategies and support…
Descriptors: Foreign Countries, At Risk Students, College Freshmen, Accounting
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Shepler, Dustin K.; Woosley, Sherry A. – Journal of Postsecondary Education and Disability, 2012
This study sought to better understand the early integration experiences of college students with disabilities by examining two research questions: (1) How well do the variables in Tinto's (1993) classic model of student attrition predict the early integration experiences of college students with disabilities? and (2) How do students with…
Descriptors: College Students, Social Integration, Disabilities, Statistical Analysis
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Sweat, Jeffrey; Jones, Glenda; Han, Suejung; Wolfgram, Susan M. – International Journal for the Scholarship of Teaching and Learning, 2013
This High Impact Practices (HIPS) contribute to higher retention and graduation rates. HIPS are effective for racial and ethnic minorities in particular, who disproportionately experience high and persistent levels of postsecondary attrition. Little is known about the mechanism by which HIPS promote retention. Based on a random survey of 268…
Descriptors: Predictor Variables, Predictive Validity, Academic Persistence, Graduation Rate
Goodman, Patricia A. – ProQuest LLC, 2010
Although significant research exists on the causes of student attrition, minimal research has examined how combinations of student variables and institutional practices interact to predict student persistence. The purpose of this research was to identify the extent to which course registration time, low-income status, and transfer-oriented goals…
Descriptors: School Holding Power, Technical Institutes, School Registration, Student Attrition
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Freeman, Jerrid P.; Hall, Eric E.; Bresciani, Marilee J. – College Student Journal, 2007
The purpose of this quantitative research study is to identify variables that lead students to having thoughts of leaving their institution, talking with someone about leaving their institution, or taking steps to leave their institution. This attrition study identifies variables that institutional faculty, administrators, and staff can address…
Descriptors: Statistical Analysis, Predictor Variables, School Holding Power, College Students
Yu, Chong Ho; DiGangi, Samuel A.; Jannasch-Pennell, Angel; Lo, Wenjuo; Kaprolet, Charles – Online Submission, 2007
Student retention is an important issue for all university administrators and faculty due to the potential negative impact of student attrition. In this study, retention rates will be studied with data from sophomore students who initially enrolled in the 2002 academic year at Arizona State University, following these students through their junior…
Descriptors: School Holding Power, Student Attrition, Academic Persistence, Dropout Research
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Stage, Frances K. – Research in Higher Education, 1988
A study demonstrated the use of logistic regression in conjunction with a new structural equations modeling technique for a university attrition study. The results and their methodological implications are discussed. (MSE)
Descriptors: Academic Persistence, College Freshmen, Comparative Analysis, Higher Education
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de Rome, Elizabeth; Lewin, Terry – Higher Education, 1984
A study examined whether information about student approaches to making their course choices could have been used to identify those who subsequently changed or withdrew from their courses. Multivariate analysis indicated that combinations of the information could discriminate between students who persisted and those who withdrew. (Author/MLW)
Descriptors: Academic Persistence, College Environment, Higher Education, Predictive Measurement
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Bean, John P. – 1979
The shortcomings of current research on student attrition are reviewed, and ways are described in which multiple regression, path analysis, and a recursive causal model can be used to better understand attrition. A review of the research shows that past theoretical models lack an adequate definition of variables which have resulted in their being…
Descriptors: Bibliographies, Conference Reports, Critical Path Method, Demography
D'Alessandro, Michael, Ed. – Online Submission, 2009
The NEAIR 2009 Conference Proceedings is a compilation of papers presented at the Baltimore, Maryland conference. Papers in this document include: (1) A Principle Components Analysis of The Determinants of Student Satisfaction at a Historically Black Institution (Tao Gong and Jacqueline V. Parham); (2) Assessing and Enhancing Graduates'…
Descriptors: College Students, Student Attitudes, Satisfaction, Black Colleges
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Suresh, Radhika – Journal of College Student Retention: Research, Theory & Practice, 2007
Attrition in engineering programs continues to be an important issue for universities across the country. This study examined the connection between student performance in barrier courses and persistence in engineering. Quantitative results showed that high school academic experience, student behaviors (including study habits, work habits, coping…
Descriptors: Academic Persistence, Academic Achievement, Student Behavior, Teaching Styles
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