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Tomkin, Jonathan H.; West, Matthew; Herman, Geoffrey L. – ACM Transactions on Computing Education, 2018
We present a methodological improvement for calculating Grade Point Averages (GPAs). Heterogeneity in grading between courses systematically biases observed GPAs for individual students: the GPA observed depends on course selection. We show how a logistic model can account for course selection by simulating how every student in a sample would…
Descriptors: Grade Point Average, Grading, Predictor Variables, Grades (Scholastic)
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Herrera, Cheryl – Research in Higher Education Journal, 2013
This study is designed to understand the patterns of selection, preparation, retention and graduation of undergraduate pre-licensure clinical nursing students in the College of Nursing and Health Innovation at Arizona State University enrolled in 2007 and 2008. The resulting patterns may guide policy decision making regarding future cohorts in…
Descriptors: Statistical Analysis, Undergraduate Students, Nursing Students, Nursing Education
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Abou-Sayf, Frank K. – Journal of Applied Research in the Community College, 2009
In this study, the different types of research designs used to assess the impact of prerequisite courses are presented. Supported by an in-depth literature review, the challenges that are faced in the assessment of the impact of prerequisites, from statistical to political, are identified and their pitfalls are pointed out. In particular, the…
Descriptors: Prerequisites, Statistical Analysis, Required Courses, Program Effectiveness