Predictors of Academic Performance: An Assessment of Secondary Students’ Mathematical Ability

Abstract

This study is a sequel to last school year’s study on assessment of the Mathematical ability of private school students. In that study, data showed that a private school students have a knowledge ability level of 84.28%, comprehension ability level of 82.58%, and application ability level of 77.57%, resulting to a Mathematical performance of 81.19%. Using Multiple Regression Analysis, results showed that the application ability of the student was the highest predictor of his Mathematical performance, while the comprehension ability of the student was the least predictor his Mathematical performance. While the previous paper focused on the three level of thinking skills (knowledge, comprehension and application), this present one includes the fourth in the Bloom’s Taxonomy – analysis. Grade 5 students are also included as additional to last school year’s grade 6, 9 and 10 students. The researcher repeated the process of knowing the mean level of Mathematical ability, noting the significant effect of those abilities to the Mathematical performance, and finding out the predictability of the Mathematical performance of the private high school students. Results revealed that a private school students have a knowledge ability level of 82.11%, comprehension ability level of 82.29%, application ability level of 75.86%, and analysis ability level of 77.51%, giving a Mathematical performance of 79.07%. Using Multiple Regression Analysis, results supported the findings last school year that the application ability of the student is the highest predictor of his Mathematical performance, while the knowledge ability of the student came out to be the least predictor of his Mathematical performance.