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Survey datasets on women participation in green jobs in the construction industry
The unique qualities of women can make them bearers of solutions towards achieving sustainability and dealing with the dangers attributed to climate change. The attitudinal study utilized a questionnaire instrument to obtain perception of female construction professionals. By using a well-structured...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5834649/ https://www.ncbi.nlm.nih.gov/pubmed/29516031 http://dx.doi.org/10.1016/j.dib.2018.02.009 |
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author | Afolabi, Adedeji O. Ojelabi, Rapheal A. Tunji-Olayeni, Patience F. Fagbenle, Olabosipo I. Mosaku, Timothy O. |
author_facet | Afolabi, Adedeji O. Ojelabi, Rapheal A. Tunji-Olayeni, Patience F. Fagbenle, Olabosipo I. Mosaku, Timothy O. |
author_sort | Afolabi, Adedeji O. |
collection | PubMed |
description | The unique qualities of women can make them bearers of solutions towards achieving sustainability and dealing with the dangers attributed to climate change. The attitudinal study utilized a questionnaire instrument to obtain perception of female construction professionals. By using a well-structured questionnaire, data was obtained on women participating in green jobs in the construction Industry. Descriptive statistics is performed on the collected data and presented in tables and mean scores (MS). In addition, inferential statistics of categorical regression was performed on the data to determine the level of influence (beta factor) the identified barriers had on the level of participation in green jobs. Barriers and the socio-economic benefits which can guide policies and actions on attracting, retaining and exploring the capabilities of women in green jobs can be obtained from the survey data when analyzed. |
format | Online Article Text |
id | pubmed-5834649 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
spelling | pubmed-58346492018-03-07 Survey datasets on women participation in green jobs in the construction industry Afolabi, Adedeji O. Ojelabi, Rapheal A. Tunji-Olayeni, Patience F. Fagbenle, Olabosipo I. Mosaku, Timothy O. Data Brief Environmental Science The unique qualities of women can make them bearers of solutions towards achieving sustainability and dealing with the dangers attributed to climate change. The attitudinal study utilized a questionnaire instrument to obtain perception of female construction professionals. By using a well-structured questionnaire, data was obtained on women participating in green jobs in the construction Industry. Descriptive statistics is performed on the collected data and presented in tables and mean scores (MS). In addition, inferential statistics of categorical regression was performed on the data to determine the level of influence (beta factor) the identified barriers had on the level of participation in green jobs. Barriers and the socio-economic benefits which can guide policies and actions on attracting, retaining and exploring the capabilities of women in green jobs can be obtained from the survey data when analyzed. Elsevier 2018-02-09 /pmc/articles/PMC5834649/ /pubmed/29516031 http://dx.doi.org/10.1016/j.dib.2018.02.009 Text en © 2018 The Authors http://creativecommons.org/licenses/by/4.0/ This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Environmental Science Afolabi, Adedeji O. Ojelabi, Rapheal A. Tunji-Olayeni, Patience F. Fagbenle, Olabosipo I. Mosaku, Timothy O. Survey datasets on women participation in green jobs in the construction industry |
title | Survey datasets on women participation in green jobs in the construction industry |
title_full | Survey datasets on women participation in green jobs in the construction industry |
title_fullStr | Survey datasets on women participation in green jobs in the construction industry |
title_full_unstemmed | Survey datasets on women participation in green jobs in the construction industry |
title_short | Survey datasets on women participation in green jobs in the construction industry |
title_sort | survey datasets on women participation in green jobs in the construction industry |
topic | Environmental Science |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5834649/ https://www.ncbi.nlm.nih.gov/pubmed/29516031 http://dx.doi.org/10.1016/j.dib.2018.02.009 |
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