Cargando…

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...

Descripción completa

Detalles Bibliográficos
Autores principales: Weybright, Elizabeth H., Caldwell, Linda L., Xie, Hui (Jimmy), Wegner, Lisa, Smith, Edward A.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: 2017
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
_version_ 1783360311295737856
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
work_keys_str_mv AT weybrightelizabethh predictingsecondaryschooldropoutamongsouthafricanadolescentsasurvivalanalysisapproach
AT caldwelllindal predictingsecondaryschooldropoutamongsouthafricanadolescentsasurvivalanalysisapproach
AT xiehuijimmy predictingsecondaryschooldropoutamongsouthafricanadolescentsasurvivalanalysisapproach
AT wegnerlisa predictingsecondaryschooldropoutamongsouthafricanadolescentsasurvivalanalysisapproach
AT smithedwarda predictingsecondaryschooldropoutamongsouthafricanadolescentsasurvivalanalysisapproach