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Schneid, Stephen D.; Apperson, April; Laiken, Nora; Mandel, Jess; Kelly, Carolyn J.; Brandl, Katharina – Advances in Health Sciences Education, 2018
Medical schools with a diverse student body face the challenge of ensuring that all students succeed academically. Many medical schools have implemented prematriculation programs to prepare students from diverse backgrounds; however, evidence on their impact is largely lacking. In this study, we analyzed participants' demographics as well as the…
Descriptors: Medical Schools, Summer Science Programs, Guidance Programs, Demography
Shaw, Stuart; Warren, Jayne; Gill, Tim – College and University, 2014
This article focuses on the research being conducted by Cambridge International Examinations (Cambridge) to ensure that its international assessments prepare students as well as other acceleration programs for continued study in U.S. colleges and universities. The study, which builds on previous freshman GPA data modeling work using data supplied…
Descriptors: Foreign Countries, Acceleration (Education), Program Evaluation, College Students
Ray, Larry A. – ProQuest LLC, 2011
This study examined the academic performance of Tech Prep students (referred to as participants) in comparison to non-Tech Prep students (referred to as non-participants) entering a two-year community college from sixteen different high schools in Stark County, Ohio. This study provided a quantitative analysis of students' academic experiences to…
Descriptors: Test Results, Grade Point Average, College Preparation, Academic Achievement
Riggs, Iris M.; Riggs, Matt L. – 1990
The validity of several predictors was examined against multiple criteria of student program success. Subjects (N=437) were selected from about 800 students in the elementary teacher education program of a small California state university. Predictor variables for each subject included: (1) undergraduate grade point average (GPA); (2) subscale…
Descriptors: Academic Achievement, College Students, Education Majors, Elementary Education

Remus, William; Wong, Clara – College Student Journal, 1982
Evaluates the effectiveness of five admission models in predicting student performance in a Masters of Business Administration program. Found the regression model predicts graduate success better than the other models, but none of the models improved upon the admission officer's judgment. (Author/JAC)
Descriptors: Academic Achievement, Admission Criteria, Admissions Officers, Business Administration Education