A correlational research refers to a research that utilizes various statistical association measures to evaluate relationships between variables (Postlethwaite, 2005). The relationships between the variables can either be positive, negative, none or curvilinear. The correlation coefficient, usually symbolized by r, expresses the degree of the relationship between variables. The coefficient ranges from -1 to 1 with positive values indicating positive correlation. On the other hand, 0 indicates no correlation while negative values indicate negative correlation. A correlational research would be applicable, for instance, to assess the relationship between GPA scores and intelligence.

A correlational relationship is expected between a student’s GPA scores (educational performance) and job performance. One would expect the nature of the relationship between these two variables to be positive. This would imply that students with high GPA scores deliver a high performance in the workplace. Many organizations are reliant on selection tests when recruiting new employees. These are aimed at ensuring that the organizations have high performing employees, which is imperative to the maintenance of a competitive advantage. In addition, various researches have pointed at the relationships between critical thinking and job performance, for instance, Ejiogu et al. (2006).

The results of a correlational research on GPA scores and job performance would be beneficial to the management of an organization. The human resources managers would utilize this during recruitment and hiring processes. Moreover, it would be pertinent in helping to introduce reforms in the job environment, fox example, training programs. In effect, this will ensure effective task completion and increased employee-employer relations. In addition, the benefits of a highly skilled workforce encompass citizenship and other counterproductive performances (Ng & Feldman, 2009).