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Predicting secondary school dropout among South African adolescents: A survival analysis approach
Education is one of the strongest predictors of health worldwide. In South Africa, school dropout is a crisis where by Grade 12, only 52% of the age appropriate population remain enrolled. Survival analysis was used to identify the risk of dropping out of secondary school for male and female adolesc...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6168088/ https://www.ncbi.nlm.nih.gov/pubmed/30287979 http://dx.doi.org/10.15700/saje.v37n2a1353 |
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author | Weybright, Elizabeth H. Caldwell, Linda L. Xie, Hui (Jimmy) Wegner, Lisa Smith, Edward A. |
author_facet | Weybright, Elizabeth H. Caldwell, Linda L. Xie, Hui (Jimmy) Wegner, Lisa Smith, Edward A. |
author_sort | Weybright, Elizabeth H. |
collection | PubMed |
description | Education is one of the strongest predictors of health worldwide. In South Africa, school dropout is a crisis where by Grade 12, only 52% of the age appropriate population remain enrolled. Survival analysis was used to identify the risk of dropping out of secondary school for male and female adolescents and examine the influence of substance use and leisure experience predictors while controlling for demographic and known predictors using secondary, longitudinal data. Results indicated being male, not living with one’s mother, smoking cigarettes in the past month, and lower levels of leisure-related intrinsic motivation significantly predicted dropout. Results support comprehensive prevention programmes that target risk behaviour and leisure. |
format | Online Article Text |
id | pubmed-6168088 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
record_format | MEDLINE/PubMed |
spelling | pubmed-61680882018-10-02 Predicting secondary school dropout among South African adolescents: A survival analysis approach Weybright, Elizabeth H. Caldwell, Linda L. Xie, Hui (Jimmy) Wegner, Lisa Smith, Edward A. S Afr J Educ Article Education is one of the strongest predictors of health worldwide. In South Africa, school dropout is a crisis where by Grade 12, only 52% of the age appropriate population remain enrolled. Survival analysis was used to identify the risk of dropping out of secondary school for male and female adolescents and examine the influence of substance use and leisure experience predictors while controlling for demographic and known predictors using secondary, longitudinal data. Results indicated being male, not living with one’s mother, smoking cigarettes in the past month, and lower levels of leisure-related intrinsic motivation significantly predicted dropout. Results support comprehensive prevention programmes that target risk behaviour and leisure. 2017-05 /pmc/articles/PMC6168088/ /pubmed/30287979 http://dx.doi.org/10.15700/saje.v37n2a1353 Text en http://creativecommons.org/licenses/by/4.0/ Published under a Creative Commons Attribution Licence. |
spellingShingle | Article Weybright, Elizabeth H. Caldwell, Linda L. Xie, Hui (Jimmy) Wegner, Lisa Smith, Edward A. Predicting secondary school dropout among South African adolescents: A survival analysis approach |
title | Predicting secondary school dropout among South African adolescents: A survival analysis approach |
title_full | Predicting secondary school dropout among South African adolescents: A survival analysis approach |
title_fullStr | Predicting secondary school dropout among South African adolescents: A survival analysis approach |
title_full_unstemmed | Predicting secondary school dropout among South African adolescents: A survival analysis approach |
title_short | Predicting secondary school dropout among South African adolescents: A survival analysis approach |
title_sort | predicting secondary school dropout among south african adolescents: a survival analysis approach |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6168088/ https://www.ncbi.nlm.nih.gov/pubmed/30287979 http://dx.doi.org/10.15700/saje.v37n2a1353 |
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