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Predicting academic success : towards an admission and placement model
Thesis (PhD)--University of Pretoria, 2019.
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| Format: | Thesis |
| Language: | English |
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University of Pretoria
2019
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| _version_ | 1867613459345047552 |
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| access_status_str | Open Access |
| author2 | Nel, Jan Alewyn |
| author_browse | Nel, Jan Alewyn |
| author_facet | Nel, Jan Alewyn |
| collection | Thesis |
| dc_rights_str_mv | © 2019 University of Pretoria. All rights reserved. The copyright in this work vests in the University of Pretoria. No part of this work may be reproduced or transmitted in any form or by any means, without the prior written permission of the University of Pretoria. |
| description | Thesis (PhD)--University of Pretoria, 2019. |
| format | Thesis |
| id | oai:repository.up.ac.za:2263/71735 |
| institution | University of Pretoria (South Africa) |
| language | English |
| last_indexed | 2026-06-10T12:36:29.146Z |
| license_str | Other — see source repository |
| provenance_str_mv | Harvested via OAI-PMH from UPSpace — University of Pretoria Institutional Repository |
| publishDate | 2019 |
| publishDateRange | 2019 |
| publishDateSort | 2019 |
| publisher | University of Pretoria |
| publisherStr | University of Pretoria |
| record_format | dspace |
| source_str | UPSpace — University of Pretoria Institutional Repository |
| spelling | oai:repository.up.ac.za:2263/71735 Predicting academic success : towards an admission and placement model Nel, Jan Alewyn u04183630@tuks.co.za Stanz, Karel J. Myburgh, Cila UCTD Thesis (PhD)--University of Pretoria, 2019. The study aimed to develop a model predictive of academic success based on variables assessed during the admission process and the relationships of the variables with academic progress and academic success at a South African university. To do this, the study investigated if school exiting results and admission tests were significant predictors of first-year grade point average and of final academic grade point average over a period of six years, taking into account different race and gender groups, as well as different school examination authorities. The relationship between first-year and final grade point average was also assessed in order to develop a comprehensive and integrated model predictive of academic success. The disaggregation of the dataset (N=3418) into different race and gender subgroups and different school examination authorities revealed to be useful and necessary as differences in mean scores of the predictor and criterion variables were observed and vastly different predictive models were presented, indicating that an overall model to predict academic success for all students is not appropriate. The results of this study highlighted the reality of significant inequalities in university outcomes for students of different race and gender subgroups in particular. The results of this study should be interpreted in the context of guiding admission decisions, and developing policies and rules that are fair, equitable, reliable and justifiable in terms of the ability and probability of students to succeed, bearing in mind individual differences in the prediction model with regard to race, gender and different school examination authorities. TM2019 Human Resource Management PhD Unrestricted 2019-10-09T14:23:04Z 2019-10-09T14:23:04Z 19/09/03 2019 Thesis Myburgh, C 2019, Predicting academic success : towards an admission and placement model, PhD Thesis, University of Pretoria, Pretoria, viewed yymmdd <http://hdl.handle.net/2263/71735> S2019 http://hdl.handle.net/2263/71735 en © 2019 University of Pretoria. All rights reserved. The copyright in this work vests in the University of Pretoria. No part of this work may be reproduced or transmitted in any form or by any means, without the prior written permission of the University of Pretoria. application/pdf University of Pretoria |
| spellingShingle | UCTD Predicting academic success : towards an admission and placement model |
| title | Predicting academic success : towards an admission and placement model |
| title_full | Predicting academic success : towards an admission and placement model |
| title_fullStr | Predicting academic success : towards an admission and placement model |
| title_full_unstemmed | Predicting academic success : towards an admission and placement model |
| title_short | Predicting academic success : towards an admission and placement model |
| title_sort | predicting academic success towards an admission and placement model |
| topic | UCTD |
| url | http://hdl.handle.net/2263/71735 |