Relationship and Forecasting Equation between Academic Outcome and Admission Test Scores of King Mongkut’s University of Technology North Bangkok

Abstract

This research had objectives to study the relationship and create forecasting equation between 4 academic outcome and admission test scores of students of King Mongkut’s University of Technology North Bangkok. Conducting the study from representative samples of the students who had entered and registered in academic year 2010-2012 amounted to 2,650 samples by using a systematic random sampling. Data were collected from Academic Services division, King Mongkut’s University of Technology North Bangkok. Statistical data analysis used Simple Regression Analysis method by determining a Pearson Correlation Coefficient as well as Stepwise Multiple Regression Analysis. The research results found that the academic outcomes (GPA) had a low level positive relationship with entrance examination scores from admission system (r = .444) statistically significance at .05 level. For an analysis of predictive power, it+ was found that the GPAX, GAT, O-NET and PAT scores were variables which could provide the academic outcomes forecast with statistically significance at .05 level. The prediction of all 4 variables was 23.5 percent with Standard Error of  Estimate (S.E.est) of .42836 that could be written the forecasting equation in raw scores and standard scores as following:

             Ŷ KMUTNB = .353 + .342 GPAX + .002 GAT + .002 ONET -.001
             Z KMUTNB = .227 GPAX + .186 GAT + .204 ONET - .071PAT