Predictive ability of advanced level secondary education students’ results to academic perfomance for first year undergraduate students A Case of University of Dar es Salaam’s Bachelor of Arts in Economics
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Date
2013
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University of Dar es Salaam
Abstract
The purpose of this study was to determine the predictive ability of form six points, form
six subject combinations and sex towards undergraduate students’ performance. In this
research we used quantitative real data. A sample of 159 students was used. They included
students who completed the same year in Ordinary Secondary Education level and the same
year of Advanced Certificate of Secondary Education Examination. The essence was to
increase validity of data.
Quantitative data analysis was conducted using Statistical Package for Social Sciences
(SPSS) to analyze collected data using linear regression model. Findings indicated that
students’ form six points was a fairly good predictor while the subject combination of
History, Geography and Economics (HGE) showed stronger predictive ability to
undergraduate performance than Economics, Geography and Mathematics (EGM) though
both were fairly good predictors. It was observed that predictive ability of males’ points
was stronger than females. While males showed some significance to the model, female
showed no significance at all. It implied that females are not substantively predicted by the
model. In due regard, female students’ performance can be predicted by other factors rather
than merely their points.
Thus, Tanzania Commission of Universities (TCU) should conduct special reforms in
aligning with nature of admitted students based on their combination points and continue
using form six points, which showed predictability to undergraduate performances.
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Available in print copy
Keywords
Secondary education, first year, undergraduate
Citation
Martin, E.(2013). Predictive ability of advanced level secondary education students’ results to academic perfomance for first year undergraduate students A Case of University of Dar es Salaam’s Bachelor of Arts in Economics. Master dissertation, university of Dar es Salaam. Available at (http://41.86.178.3/internetserver3.1.2/search.aspx?formtype=advanced)