Publication Date
In 2025 | 0 |
Since 2024 | 0 |
Since 2021 (last 5 years) | 0 |
Since 2016 (last 10 years) | 1 |
Since 2006 (last 20 years) | 4 |
Descriptor
Models | 8 |
Student Attrition | 8 |
Academic Persistence | 6 |
Higher Education | 5 |
College Students | 4 |
Intervention | 3 |
School Holding Power | 3 |
Student Characteristics | 3 |
Admission Criteria | 2 |
College Freshmen | 2 |
Enrollment | 2 |
More ▼ |
Source
College and University | 8 |
Author
Miller, Thomas E. | 3 |
Billson, Janet Mancini | 1 |
Burke, Adam | 1 |
Domer, D. E. | 1 |
Glynn, Joseph G. | 1 |
Guarino, A. J. | 1 |
Herreid, C. H. | 1 |
Herreid, Charlene | 1 |
Herreid, Charlene H. | 1 |
Hocevar, Dennis | 1 |
Johnson, A. E., Jr. | 1 |
More ▼ |
Publication Type
Journal Articles | 8 |
Reports - Descriptive | 3 |
Reports - Research | 3 |
Information Analyses | 2 |
Reports - Evaluative | 1 |
Education Level
Higher Education | 5 |
Postsecondary Education | 1 |
Audience
Location
Florida | 3 |
Laws, Policies, & Programs
Assessments and Surveys
SAT (College Admission Test) | 1 |
What Works Clearinghouse Rating
Burke, Adam – College and University, 2019
This literature review examines student retention in higher education institutions. Specifically, it looks at the background and history of student retention, three student retention theories, and current literature on student retention within the social system. The three theories are Spady's (1970, 1971) Undergraduate Dropout Process Model,…
Descriptors: School Holding Power, Models, Higher Education, Learner Engagement
Miller, Thomas E.; Tyree, Tracy; Riegler, Keri K.; Herreid, Charlene – College and University, 2010
This article describes the early outcomes of an ongoing project at the University of South Florida in Tampa that involves using a logistics regression formula derived from pre-matriculation characteristics to predict the risk of individual student attrition. In this piece, the authors will describe the results of the prediction formula and the…
Descriptors: Mentors, Student Attrition, Models, Multiple Regression Analysis
Miller, Thomas E.; Herreid, Charlene H. – College and University, 2009
This is the fifth in a series of articles describing an attrition prediction and intervention project at the University of South Florida (USF) in Tampa. The project was originally presented in the 83(2) issue (Miller 2007). The statistical model for predicting attrition was described in the 83(3) issue (Miller and Herreid 2008). The methods and…
Descriptors: Regression (Statistics), College Students, Higher Education, Student Attrition
Miller, T. E.; Herreid, C. H. – College and University, 2008
This article presents a project intended to produce a model for predicting the risk of attrition of individual students enrolled at the University of South Florida. The project is premised upon the principle that college student attrition is as highly individual and personal as any other aspect of the college-going experience. Students make…
Descriptors: Academic Persistence, Student Attrition, Admission (School), Regression (Statistics)
Glynn, Joseph G.; Miller, Thomas E. – College and University, 2002
Presents a tracking model for monitoring and reporting student transitions through the college years. Develops and illustrates the model by following a mythical class of 500 freshmen and 380 transfer students from matriculation to attrition or graduation. The model focuses on sequences of semesters rather than on freshman, sophomore, junior, and…
Descriptors: Academic Persistence, College Students, Dropout Rate, Graduation Rate
Guarino, A. J.; Hocevar, Dennis – College and University, 2005
Tinto developed a model to predict the attrition process. The model respects a longitudinal perspective and regards persistence as a function of the quality of a student's interactions with the academic and social systems of the college. Tinto asserts that the two primary factors related to student withdrawal are the personal characteristics of…
Descriptors: Models, Locus of Control, Academic Persistence, Student Attrition

Billson, Janet Mancini; Terry, Margaret Brooks – College and University, 1987
Colleges and universities are increasingly committed to achieving enrollment stability through raising student retention rates. The student retention model is designed to guide institutions toward enhancing both involvement and institutional fit for as many students as feasible, thereby increasing student retention. (MLW)
Descriptors: Academic Persistence, Admission Criteria, College Attendance, College Students

Domer, D. E.; Johnson, A. E., Jr. – College and University, 1982
A statistical analysis of the predictive potential of academic and nonacademic student characteristics in an architecture school provides a model for other institutions to make their admissions processes and programs for retention more effective. The study was of 10 freshman architecture classes at the University of Kansas. (MSE)
Descriptors: Academic Achievement, Admission Criteria, Architectural Education, Cognitive Processes