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Campbell, Corbin M.; Mislevy, Jessica L. – Journal of College Student Retention: Research, Theory & Practice, 2013
Along with the massification of higher education and increasing costs, the pressure on institutions to retain all students to degree completion has been mounting. Early identification of students who are at risk of leaving an institution may help institutions to target and retain these students. This study investigated whether freshmen behaviors,…
Descriptors: Identification, At Risk Students, School Holding Power, Enrollment
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Johnson, James E.; Wessel, Roger D.; Pierce, David A. – Journal of College Student Retention: Research, Theory & Practice, 2013
The population of 674 first-year student-athletes culled from 5 successive freshman classes (2004-2008) at a mid-size midwestern university was examined to determine what combination of demographic, academic, and athletic variables best predicted retention into the 2nd academic year. The dependent variable of retention was chosen because it is a…
Descriptors: Academic Persistence, College Freshmen, Demography, Academic Achievement
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Rogerson, C. Lisa; Poock, Michael C. – Journal of College Student Retention: Research, Theory & Practice, 2013
The purpose of this study was to examine the relationship between the methods by which first year seminars are populated at a large research institution and the impact on student retention and the perception of content, student satisfaction with the course as a vehicle for successful transition to the institution, and building relationships with…
Descriptors: First Year Seminars, Academic Persistence, Instructional Effectiveness, Research Universities
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D'Amico, Mark M.; Dika, Sandra L. – Journal of College Student Retention: Research, Theory & Practice, 2013
The authors use data known at the time of initial enrollment to explore the first-year GPAs and second-year retention of first-generation (FGCS) and non-first-generation (non-FGCS) college students. The setting was a diverse, public, urban doctoral institution (approximately 50% FGCS and 30% minority). Multiple linear and logistic regressions run…
Descriptors: First Generation College Students, Success, Predictor Variables, Predictive Validity
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Grillo, Michael C.; Leist, Cathy W. – Journal of College Student Retention: Research, Theory & Practice, 2013
This study seeks to examine the relationship between the long-term use of academic support services such as tutoring, learning assistance, and supplemental instruction and retention to graduation. Little research has been devoted to the relationship between academic support and retention to graduation in both the literatures on retention and…
Descriptors: Academic Persistence, Academic Support Services, Supplementary Education, Tutoring
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Schatzel, Kim; Callahan, Thomas; Davis, Timothy – Journal of College Student Retention: Research, Theory & Practice, 2013
Results from the analyses of data from 463 former college students between the ages of 25 and 34 years old identify those most likely to reenroll in higher education in the near future. Those who intend to reenroll are more likely to be members of minority groups, younger, single, and recently laid-off, have earned more credits, and hold strong…
Descriptors: Dropouts, Stopouts, Enrollment, Withdrawal (Education)
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Stewart, James F., II; Mallery, Coretta; Choi, Jaehwa – Journal of College Student Retention: Research, Theory & Practice, 2013
With over 15 million students enrolling in institutes of higher education, it is critical to understand the factors that lead to course completion and graduation. This becomes especially important when considering students with disabilities, as this is historically a vulnerable population. Modern technology and online classes may be one way to…
Descriptors: Graduation, Academic Persistence, Distance Education, Disabilities
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Ma, Yanli; Cragg, Kristina M. – Journal of College Student Retention: Research, Theory & Practice, 2013
While some students drop out early in their academic career, others drop out close to completion. What similarities and differences exist between these early and late dropouts? Using a sample 3,520 first-time, full-time (FTFT) students seeking a bachelor's degree at a state university, this study employs multinomial logistic regression to model…
Descriptors: Dropouts, College Transfer Students, Undergraduate Students, Regression (Statistics)
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Delen, Dursun – Journal of College Student Retention: Research, Theory & Practice, 2012
Affecting university rankings, school reputation, and financial well-being, student retention has become one of the most important measures of success for higher education institutions. From the institutional perspective, improving student retention starts with a thorough understanding of the causes behind the attrition. Such an understanding is…
Descriptors: Higher Education, Student Attrition, School Holding Power, Prediction
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Barry, Chloe Y. H.; Okun, Morris A. – Journal of College Student Retention: Research, Theory & Practice, 2012
Recently, it has been suggested that constructs from different disciplines should be incorporated into Tinto's (1993) sociological model of the determinants of departure from college (Ackerman & Schibrowsky, 2007). We tested the hypothesis that variables derived from Rusbult's (1983) social-psychological investment theory contribute, above and…
Descriptors: Social Integration, Academic Persistence, Graduation, College Freshmen
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Silverman, Loretta H.; Seidman, Alan – Journal of College Student Retention: Research, Theory & Practice, 2012
The majority of college students are not ready for college-level math courses, which, when completed, have been shown to increase graduation and transfer rates. To address this problem, the Math My Way (MMW) program was developed to integrate module-based curriculum and mastery learning approaches. The program is based on Seidman's retention…
Descriptors: Control Groups, Grade Point Average, Academic Achievement, Mastery Learning
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Robb, Cliff A.; Moody, Beth; Abdel-Ghany, Mohamed – Journal of College Student Retention: Research, Theory & Practice, 2012
Data collected from two major universities (one in the Midwest and one in the Southeast) in the United States were used to analyze student persistence behavior and perceptions of debt. Results from four separate logistic regression analyses suggested that financial factors play a significant role in student persistence behavior as well as in…
Descriptors: Debt (Financial), Credit (Finance), Academic Persistence, Performance Factors
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Cogan, Michael F. – Journal of College Student Retention: Research, Theory & Practice, 2011
This study explored the outcome of academically dismissed students reinstated the semester following academic dismissal at a medium-size Midwestern University. Logistic regression was utilized to identify predictors that may assist academic administrators in making decisions regarding future reinstatement activities. The overall model correctly…
Descriptors: Undergraduate Students, Academic Failure, Expulsion, Academic Probation
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Copeland, Kelly J.; Levesque-Bristol, Chantal – Journal of College Student Retention: Research, Theory & Practice, 2011
Student success results from positive learning environments which strive to meet the basic psychological needs of students, foster self-determined forms of motivation, and cultivate learning outcomes such as knowledge transfer, meta-cognition, and engagement. Low first-year student retention rates lead many universities to assess factors…
Descriptors: Psychological Needs, Structural Equation Models, Academic Achievement, School Holding Power
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Hagedorn, Linda Serra; Cabrera, Alberto; Prather, George – Journal of College Student Retention: Research, Theory & Practice, 2011
Using a newly developed software application entitled "The Community College Transfer Calculator"[C], this article both quantifies the effect of specific course-taking patterns and stresses the need for an easy to understand tool for community college academic advisors, faculty, and students. The "Calculator" calculates the…
Descriptors: Community Colleges, Course Selection (Students), College Transfer Students, Computer Software
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