Forecasting and Control of Aptitude Test Scores: A Human Resource Management Analysis

Abstract

The present research study is designed to investigate the factors affecting aptitude test score of undergraduate students of a leading coaching class of India. The variables under consideration were the GRE score (student’s grades/marks) as a dependent variable and the initial marks in Verbal, Quantitative, 10^th Grade, 12^th grade, father/guardian social economic status, and daily study hours were independent variables. The data is collected from 722 students of Swati Jain Academy through separate structured questionnaire, using the simple random sampling technique and through an initial mock GRE evaluation test. For analysis, linear regression model, correlation analysis, and descriptive analysis were used. The findings revealed that father/guardian social economic status, the percentage of 10^th and daily study hours significantly contribute to the academic performance of graduate students. A linear model was also proposed that will be helpful to improve the GRE/GMAT/SAT score of students from countries like India.

Keywords: Educationmetric, Coaching, Aptitude Test, Forecasting, Control