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Kelli A. Bird; Benjamin L. Castleman; Zachary Mabel; Yifeng Song – AERA Open, 2021
Colleges have increasingly turned to predictive analytics to target at-risk students for additional support. Most of the predictive analytic applications in higher education are proprietary, with private companies offering little transparency about their underlying models. We address this lack of transparency by systematically comparing two…
Descriptors: At Risk Students, Identification, Two Year College Students, Community Colleges
Kelli A. Bird; Benjamin L. Castleman; Zachary Mabel; Yifeng Song – Annenberg Institute for School Reform at Brown University, 2021
Colleges have increasingly turned to predictive analytics to target at-risk students for additional support. Most of the predictive analytic applications in higher education are proprietary, with private companies offering little transparency about their underlying models. We address this lack of transparency by systematically comparing two…
Descriptors: At Risk Students, Higher Education, Predictive Measurement, Models
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Mertes, Scott J.; Hoover, Richard E. – Community College Journal of Research and Practice, 2014
Retention is a complex issue of great importance to community colleges. Several retention models have been developed to help explain this phenomenon. However, these models typically have used four-year college and university environments to build their foundations. Several researchers have attempted to identify predictor variables using…
Descriptors: Community Colleges, Predictor Variables, College Freshmen, Academic Persistence
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Kotamraju, Pradeep; Blackman, Orville – Community College Journal of Research and Practice, 2011
The paper uses the Integrated Postsecondary Education Data system (IPEDS) data to simulate the 2020 American Graduation Initiative (AGI) goal introduced by President Obama in the summer of 2009. We estimate community college graduation rates and completion numbers under different scenarios that include the following sets of variables: (a) internal…
Descriptors: Community Colleges, Graduation Rate, Educational Attainment, Predictor Variables
Parrott-Robbins, Rebecca Jon – ProQuest LLC, 2010
The purpose of this study was to investigate--by utilizing data obtained from the Kentucky Community and Technical College System (KCTCS) PeopleSoft database-- whether the American College Testing (ACT) assessment was a predictor of student success for students who had graduated from respiratory, radiography, and nursing programs at Southeast…
Descriptors: Nursing Education, Technical Institutes, Grade Point Average, Multiple Regression Analysis
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Wang, Xueli – Journal of Higher Education, 2012
This study examined factors associated with the upward transfer of baccalaureate aspirants beginning at community colleges. Based on data from the National Education Longitudinal Study of 1988 and the Postsecondary Education Transcript Study, a sequential logistic regression analysis was conducted to predict bachelor's degree-seeking community…
Descriptors: Community Colleges, Performance Factors, College Transfer Students, Longitudinal Studies
King, Matteel Deneen – ProQuest LLC, 2010
For the past several years, community college presidents have retired at alarming rates. At the same time, institutional needs have shifted and new skill sets are often desired. These changes, coupled with a lack of leader succession plans, budget cuts, and an increased emphasis on accountability, created opportunities for candidates with…
Descriptors: Community Colleges, Graduation Rate, Institutional Characteristics, College Presidents
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Moosai, Susan; Walker, David A.; Floyd, Deborah L. – Community College Journal of Research and Practice, 2011
Prediction models using graduation rate as the performance indicator were obtained for community colleges in California, Florida, and Michigan. The results of this study indicated that institutional graduation rate could be predicted effectively from an aggregate of student and institutional characteristics. A performance measure was computed, the…
Descriptors: Community Colleges, Graduation Rate, Institutional Evaluation, Institutional Characteristics
Smith, Vernon C.; Lange, Adam; Huston, Daniel R. – Journal of Asynchronous Learning Networks, 2012
Community colleges continue to experience growth in online courses. This growth reflects the need to increase the numbers of students who complete certificates or degrees. Retaining online students, not to mention assuring their success, is a challenge that must be addressed through practical institutional responses. By leveraging existing student…
Descriptors: Academic Achievement, At Risk Students, Prediction, Community Colleges
Rayno, Marisue – ProQuest LLC, 2010
Nursing student attrition in community colleges negatively affects students, faculty, colleges, and the nursing profession. The purpose of this quantitative correlational retrospective research study was to examine the possible relationships between each of the independent variables of academic preparedness (as measured by NET mathematics and…
Descriptors: Nursing Students, Associate Degrees, Student Attrition, Science Curriculum
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Tickell, Geoffrey – American Journal of Business Education, 2009
This paper reports on an investigation comparing the employment salary of bachelor degree in accounting graduates with associate degree in accounting graduates two years after their graduation. Using hierarchical regression analyses, this study shows the predictive strength of participants' academic qualifications, age, gender, GPA, professional…
Descriptors: Accounting, Salaries, Compensation (Remuneration), Predictor Variables
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Bailey, Brenda L. – New Directions for Institutional Research, 2006
Data mining of IPEDS data is used to develop models that calculate predicted graduation rates for two- and four-year institutions. (Contains 7 tables and 5 figures.)
Descriptors: Graduation Rate, Models, Data, Prediction