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Please use this identifier to cite or link to this item: http://hdl.handle.net/123456789/3921

Title: Analysis of Longitudinal Data on Student Academic Performance (Case study, actuarial science (2007-2011)
Authors: Serwaa, Felicia
Issue Date: 14-Jun-2011
Abstract: One of the most important things in an academic institution that projects its image is the quality of the output or intelligence level of its products (i.e. students from that particular institution). As the saying goes “garbage in garbage out”. The quality of student’s intake of an institution will affect the graduate produced. Therefore, there is a need to take a proper look at how to get the best strategy in selecting fresh student’s base on effective admission criteria. The data of 62 actuarial students of (2007 – 2010), administrative records of their semester weighted average (SWA) were used for the study. The objective is to determined if academic performance depends on age, is there a difference between the academic performance of regular and fee-paying students, can admission aggregate affect student SWA and also does the type of school attended have effect on academic performance. The data was analyzed using random effect model. From the chosen model all model, fitted to the data set and the analysis was done, it can then be concluded based on the results from the random effects model that the SWA depends on the age; (older students score low SWA and younger students score high SWA’s), admission aggregate (student with higher aggregate tend to low SWA), type of school attended and the admission mode (fee-paying or regular). The performances of type B and C schools students are better as compare to that of type A. Meanwhile, in all the models it appeared, students decrease from semester one and increase after semester four.
Description: This Thesis is presented to Kwame Nkrumah University of Science and Technology in partial fulfillment of the requirement for the award of Masters of Science degree in Industrial Mathematics, 2011
URI: http://hdl.handle.net/123456789/3921
Appears in Collections:College of Science

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