Discrimination Model for High School Students Attending Mathematics Department

Abstract

This quantitative research aims to analyze the discrimination model which classifies the mathematicsgraduates whose learning achievements either at Good or Inadequate level by grade point average(GPAX) of every subject at high school level. The Stratified Random Samples are mathematics graduatesof King Mongkut's University of Technology Thonburi in the academic years 2000-2004. The researchtools were the high school and university transcripts of each student. This data is used to formulate thediscrimination of Good or Inadequate level model.

D = - 5.786 - 0.244(Thai) + 0.843(Social Studies) + 0.391(Health Education) + 1.36(Science)+ 0.175(Mathematics) - 0.388(English)

at significant level of 0.05. This model correctly predicts at 67.1%. The canonical correlation between thismodel and the classification of Good and Inadequate is 45.1%. Thus, the appropriate model for selectinghigh school students for the mathematics department is that the score is the combination of the accumulatedgrade point average in high school and the specific score of specialization.

Keywords : Discrimination / Achievements