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Brown, Jennifer L.; da Silva, Stephanie; Newberry, Jennifer – College Student Journal, 2018
One out of every three students who begin an academic school year does not return for a second year, which has remained unchanged for the past 50 years. The Seven Principles for Good Practice in Undergraduate Education could improve the classroom learning environment, which could lead to increased student satisfaction and retention. More empirical…
Descriptors: Measures (Individuals), Program Validation, Academic Persistence, Test Construction
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LeCrom, Carrie; Rufer, Lisa; Slavich, Mark; Dwyer, Brendan; Greenhalgh, Gregory – College Student Journal, 2016
The following case study attempted to assess what factors contribute to graduate school and early-career success among sport management graduate students. As faculty members charged with admitting the next generation of leaders in the sport industry, how should admissions decisions be made and what factors should be considered? The authors…
Descriptors: Case Studies, Athletics, Administration, Predictor Variables
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Palmer, Laura K. – College Student Journal, 2013
There is a plethora of research suggesting that daily stressors and fatigue can have a significant effect on learning and various cognitive functions in young adults. Little is known, however, about how these effects impact learning and other neurocognitive functions in students with learning challenges when compared to their counterparts without…
Descriptors: College Students, Young Adults, Stress Variables, Fatigue (Biology)
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Kim, JoHyun – College Student Journal, 2014
This study examined the relationship of tech prep and dual credit to college readiness in reading, writing, and math and retention, measured as total college-level credit hours earned. A sample of 612 high school graduates who enrolled in a community college in two consortia, one in Florida (<i>n</i> = 339) and the other in Oregon…
Descriptors: College Readiness, Academic Persistence, Tech Prep, Reading Achievement
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Liu, Richard – College Student Journal, 1981
Discusses multiple regression, a very popular statistical technique in the field of education. One of the basic assumptions in regression analysis requires that independent variables in the equation should not be highly correlated. The problem of multicollinearity and some of the solutions to it are discussed. (Author)
Descriptors: Educational Research, Higher Education, Multiple Regression Analysis, Predictor Variables