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Johnson, James – NACADA Journal, 2013
In an effort to standardize academic risk assessment, the NCAA developed the graduation risk overview (GRO) model. Although this model was designed to assess graduation risk, its ability to predict grade-point average (GPA) remained unknown. Therefore, 134 individual risk assessments were made to determine GRO model effectiveness in the…
Descriptors: Risk Assessment, College Athletics, Athletes, Graduation Rate
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Brogt, Erik; Sampson, Kaylene A.; Comer, Keith; Turnbull, Matthew H; McIntosh, Angus R. – Journal of Institutional Research, 2011
This article examines the use of institutional research data on tertiary academic success of students in the first-year Biology program at the University of Canterbury in relation to their secondary school performance in English, Mathematics with Statistics, Biology and Chemistry. This study was commissioned by the School of Biological Sciences to…
Descriptors: Institutional Research, Research Utilization, Data, Postsecondary Education
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Comer, Keith; Broght, Erik; Sampson, Kaylene – Journal of Institutional Research, 2011
Building on Shulruf, Hattie and Tumen (2008), this work examines the capacity of various National Certificate in Educational Achievement (NCEA)-derived models to predict first-year performance in Biological Sciences at a New Zealand university. We compared three models: (1) the "best-80" indicator as used by several New Zealand…
Descriptors: Science Achievement, Biology, Secondary School Science, National Competency Tests
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Hall, Michael C. – Quarterly Review of Distance Education, 2009
This article presents the results of a factor analysis on the distance education surveys "Is Online Learning Right for Me?" and "What Technical Skills Do I Need?" Both surveys are 15-question, forced response, self-scoring guides that have face validity for individual traits and skills believed to contribute to potential success in an…
Descriptors: Electronic Learning, Distance Education, Online Courses, Predictive Validity
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Oman, Paul W. – AEDS Journal, 1986
Describes a study of 38 students at Eastern Oregon State College which identified mathematics proficiency as the key student characteristic leading to successful completion of computer science courses, and developed a model that accounts for 82 percent of the variation in students' final grades in computer courses for use by advisers. (LRW)
Descriptors: Academic Achievement, Academic Advising, Analysis of Variance, Computer Science Education