From the results, high GRE scores and GPA affect positively the probability of being admitted into graduate school while having been into a high class undergraduate program has no effect on the probability of being admitted into graduate school. The probabilities of admission increase with increase in GRE scores and GPA.
The objective of this research study was to evaluate the effect of Graduate Record Exam (GRE) scores, Grade Point Average (GPA) and undergraduate program (whether from high class or low class) enrolled on the probability of being admitted (admitted and not admitted) into graduate school.
Admission to graduate schools and colleges in the US depends on GRE scores and GPA among many other considerations. Student personal statements, referees and transcripts also form an important part of considerations during admission. According to Richmond (2006), high GPA and GRE does not mean high probability of admissions but shows how the student is likely to perform as a student and mostly many colleges allow a GPA of 2.5 as the minimum. However, according Barnes (2004), the consideration of GPA and GRE scores depends on the course one is applied for. For example, applying for a medical course one has to have very good scores in science and mathematics.
Quantitative research technique was used in this research work as sought to determine the relationship between the dependent variable (admission) and the independent variables (GRE, GPA and undergraduate program). The use of this methodology is evident through the use of structured data collection tool where the 4 aspects are strictly recorded for each participant. According to Godin, G. (1993), the relationship between dependent variable sand independent variables can only be shown through the use of quantitative research approach.
Secondary data is used in this research study and is available from http://www.ats.ucla.edu/stat/stata/dae/logit.dta. This data if of 400 participants collected