The aim of this study was to evaluate a battery of tests to be used as part of the process of selecting bursary students for engineering at tertiary institutions. Due to the problems in the schooling system it is not conclusive that all students who have obtained their senior certificates are prepared and able to meet the demands and challenges of tertiary education. The purpose of this study was to determine the criterion related validity of a mathematic proficiency test, Learning Potential Computerised Adaptive Test (LPCAT) and English Literacy Skills Assessment (ELSA) as predictors of academic performance. A quantitative approach was used for the purpose of this study. More specifically the Ex post facto analyses/design is used in this study. The relationships between the dependent and independent variables were determined. Correlation analyses, Kruskal-Wallis test and regression analysis were used for the purpose of this study. The results indicated that the Mathematical proficiency test was the best predictor of academic success, followed by LPCAT and ELSA. The results of this study indicates that the use of academic literacy and learning potential contribute in selecting the best students. Companies and Universities have long been looking for a predictor or predictors of success for students as they enter tertiary studies. This information has the potential to save companies and universities millions of Rands annually by helping them make better investment decisions.
Dissertation (MCom)--University of Pretoria, 2012.