Analysis between GPA and TOEFL Score For Postgraduate Student of Sports Education using Bivariate Logistic Regression

Abstract

Due to the globalization era, there is the challenge of competition in all fields including finding work in sports education. To meet the stakeholder’s needs, it is necessary to have some criteria for prospective workers and also a well-planned process in academic. Grade Point Average (GPA), is one of the most important achievements during the postgraduate programme. Meanwhile, another academic component is English as a Foreign Language Test Score (TOEFL) which also has a very significant impact on seeing the job.This paper will analyze valuable factors that influence GPA and TOEFL using a bivariate approach. In this case, the GPA will be defined as two levels, i.e low and high. TOEFL is also able to define as two categories, i.e more and less than 450. Hence, bivariate logistic regression is the most appropriate approach. The result shows that the coefficient of age has strong evidence to reject the null hypothesis at a significant level of 0.05. It means that the variable of age has a huge contribution to influence the score of the TOEFL for the postgraduate programme in sports education.