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Statistiese kartering van faktorverwantskappe in die Suid-Afrikaanse openbare hoerskoolstelsel
Thesis (MCom)--Stellenbosch University, 2024.
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| Format: | Thesis |
| Language: | af_ZA |
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Stellenbosch : Stellenbosch University
2025
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| _version_ | 1867614091828264962 |
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| access_status_str | Open Access |
| author | Becker, Esranel |
| author2 | Venter, Lieschen |
| author_browse | Becker, Esranel Venter, Lieschen |
| author_facet | Venter, Lieschen Becker, Esranel |
| author_sort | Becker, Esranel |
| collection | Thesis |
| dc_rights_str_mv | Stellenbosch University |
| description |
Thesis (MCom)--Stellenbosch University, 2024. |
| format | Thesis |
| id | oai:scholar.sun.ac.za:10019.1/131571 |
| institution | Stellenbosch University (South Africa) |
| language | af_ZA |
| last_indexed | 2026-06-10T12:46:31.699Z |
| license_str | Other — see source repository |
| provenance_str_mv | Harvested via OAI-PMH from SUNScholar — Stellenbosch University Repository |
| publishDate | 2025 |
| publishDateRange | 2025 |
| publishDateSort | 2025 |
| publisher | Stellenbosch : Stellenbosch University |
| publisherStr | Stellenbosch : Stellenbosch University |
| record_format | dspace |
| source_str | SUNScholar — Stellenbosch University Repository |
| spelling | oai:scholar.sun.ac.za:10019.1/131571 Statistiese kartering van faktorverwantskappe in die Suid-Afrikaanse openbare hoerskoolstelsel Becker, Esranel Venter, Lieschen Stellenbosch University. Faculty of Economic and Management Sciences. Dept. of Logistics. Vocational education -- Education (Secondary) -- South Africa Education, Secondary -- Admission -- South Africa Academic achievement -- Education (Secondary) -- South Africa Students -- Rating of -- Education (Secondary) -- South Africa UCTD Thesis (MCom)--Stellenbosch University, 2024. AFRIKAANSE OPSOMMING: Hierdie studie ontwikkel ’n verfynde faktorverwantskapskartering vir leerdervordering in Suid-Afrikaanse openbare hoerskole, met spesifieke fokus op die Wes-Kaap en Gauteng. Deur data uit die 2019 Algemene Huishoudelike Opname te gebruik, is kwantitatiewe tegnieke soos faktoranalise, meervlakkige regressie-analise en strukturele vergelykingsmodellering toegepas om die verhoudings tussen sosio ekonomiese status, gesondheid, huishoudelike toestande en skoolfaktore te ontleed. Hierdie studie stel nie net belangrike faktore vas nie, maar kwantifiseer ook die verhoudingsskakels tussen hierdie veranderlikes en hul gesamentlike invloed op leerdervordering. Resultate toon dat stabiele gesinstrukture en hoer huishoudelike welvaart positief verband hou met verbeterde akademiese uitkomste, terwyl lae voedselonsekerheid en betroubare nutsdienste leerderbehoud bevorder. Sosio-ekonomiese status speel ’n sleutelrol in leerdervordering, wat die belangrikheid van stabiele tuisomgewings uitlig. Hoewel gesondheid minder prominent as ’n direkte faktor voorkom, blyk dit dat omgewingsfaktore soos voedselonsekerheid en huishoudelike welvaart sterker voorspellers van leerderuitkomste is as voorheen gedink. ENGLISH SUMMARY: This study develops a refined factor relationship mapping for learner progression in South African public high schools, with a specific focus on the Western Cape and Gauteng. Using data from the 2019 General Household Survey, quantitative techniques such as factor analysis, multilevel regression analysis, and structural equation modelling were applied to analyse the relationships between socioeconomic status, health, household conditions, and school factors. This study not only identifies key factors but also quantifies the relationship links between them and their cumulative influence on learner progression. The results show that stable family structures and higher household wealth are positively associated with improved academic outcomes, while lower food insecurity and reliable utilities promote learner retention. Socioeconomic status plays a key role in learner progression, highlighting the importance of stable home environments. Although health appears less prominent as a direct factor, environmental factors such as food insecurity and household wealth emerge as stronger predictors of learner outcomes than previously thought. This relationship model provides valuable insights for policy interventions aimed at reducing learner dropout rates and improving academic performance in South African high schools. It emphasises the necessity of improved household conditions as part of a broader strategy to enhance learner outcomes. Masters 2025-01-27T10:56:06Z 2025-01-27T10:56:06Z 2024-12 Thesis https://scholar.sun.ac.za/handle/10019.1/131571 af_ZA Stellenbosch University xviii, 119 pages : illustrations, includes annexures application/pdf Stellenbosch : Stellenbosch University |
| spellingShingle | Vocational education -- Education (Secondary) -- South Africa Education, Secondary -- Admission -- South Africa Academic achievement -- Education (Secondary) -- South Africa Students -- Rating of -- Education (Secondary) -- South Africa UCTD Becker, Esranel Statistiese kartering van faktorverwantskappe in die Suid-Afrikaanse openbare hoerskoolstelsel |
| title | Statistiese kartering van faktorverwantskappe in die Suid-Afrikaanse openbare hoerskoolstelsel |
| title_full | Statistiese kartering van faktorverwantskappe in die Suid-Afrikaanse openbare hoerskoolstelsel |
| title_fullStr | Statistiese kartering van faktorverwantskappe in die Suid-Afrikaanse openbare hoerskoolstelsel |
| title_full_unstemmed | Statistiese kartering van faktorverwantskappe in die Suid-Afrikaanse openbare hoerskoolstelsel |
| title_short | Statistiese kartering van faktorverwantskappe in die Suid-Afrikaanse openbare hoerskoolstelsel |
| title_sort | statistiese kartering van faktorverwantskappe in die suid afrikaanse openbare hoerskoolstelsel |
| topic | Vocational education -- Education (Secondary) -- South Africa Education, Secondary -- Admission -- South Africa Academic achievement -- Education (Secondary) -- South Africa Students -- Rating of -- Education (Secondary) -- South Africa UCTD |
| url | https://scholar.sun.ac.za/handle/10019.1/131571 |
| work_keys_str_mv | AT beckeresranel statistiesekarteringvanfaktorverwantskappeindiesuidafrikaanseopenbarehoerskoolstelsel |