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 International Journal of Academic Research in Education and Review
 

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International Journal of Academic Research in Education and Review

Vol. 3(2), pp. 35-44. February, 2015.

ISSN: 2360-7866

DOI: 10.14662/IJARER2015.006

 

Full Length Research

 

Predicting Post-Baccalaureate Studentís GPA from cumulative Undergraduate GPA using Logistic Regression Analysis: A Test of Hypothesis

 

Oscar Wambuguh, M.Sc., Ph.D.

 

Associate Professor, Health Sciences, Department of Nursing & Health Sciences, California State University, East Bay

Telephone: (510) 885-3252; E-mail:  oscar.wambuguh@csueastbay.edu

 

Accepted 16 February 2015

 

Abstract

 

Post-baccalaureate (postbac) students are non-traditional students returning to school after completing their bachelorís degrees in either science or non-science majors. As a result, they are deemed to be more conscientious individuals who are not only better self-disciplined and high in self-achievement, but also more hardworking, highly motivated, well organized and ambitious in nature. Using a sample of 372 students accepted into our postbac program from fall 2011 to winter 2014, data regarding their graduating institution and its geographical location, and studentsí academic achievement as measured by cumulative grade point average, was analyzed. Results indicate that: 1) most postbac students applying to our program come from California and a small percentage from international locations. 2) Studentsí cumulative undergraduate GPAs weakly correlate with their postbac cumulative GPAs; but they significantly differ from postbac cumulative GPAs after at least one full year of coursework in our program. 3) Logistic regression analysis showed that students entering the postbac program with overall undergraduate GPAs close to 3.0perform better than those with lower undergraduate GPAs. 4) Logistic regression analysis also showed that students entering the program with at least a 3.0 GPA had a higher probability of attaining a cumulative postbac GPA of at least 3.7, than those with lower than a 3.0 GPA. Postbac students bring a multiplicity of important personal traits like the ability to overcome adversity, tenacity, work and varied life experiences, and a relatively high level of maturity and responsibility compared to undergraduate student pools. Factors other than academic aptitude are becoming a critical part of the admissions process for many advanced programs worldwide. Many studies focusing on student achievement and admissions applaud and reiterate the importance of such a broad-based and holistic approach to student admissions particularly in graduate and health professional programs.

Keywords: undergraduate, post-baccalaureate, postbac, academic performance, biomedical school, GPA, logistic regression.

 

     

Cite This Article As: Wambuguh O (2015). Predicting Post-Baccalaureate Studentís GPA from cumulative Undergraduate GPA using Logistic Regression Analysis: A Test of Hypothesis. Inter. J. Acad. Res. Educ. Rev. 3(2): 35-44.

 

 

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Current Issue: February 2015

 

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