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The Impact of COVID-19 on U.S. Computer Science Faculty’s Turnover Intentions: The Role of Gender
The COVID-19 pandemic has been challenging for college faculty, with evidence that it has the potential to exacerbate pre-pandemic gender inequities in work demands (Tugend, 2020). The impact of the pandemic may be particularly difficult for women in male-dominated STEM fields such as computer scien...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer US
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10080514/ https://www.ncbi.nlm.nih.gov/pubmed/37090683 http://dx.doi.org/10.1007/s11199-023-01361-1 |
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author | Lawson, Katie M. Barrineau, MaryJon Woodling, Chloe M. Ruggles, Sydney Largent, David L. |
author_facet | Lawson, Katie M. Barrineau, MaryJon Woodling, Chloe M. Ruggles, Sydney Largent, David L. |
author_sort | Lawson, Katie M. |
collection | PubMed |
description | The COVID-19 pandemic has been challenging for college faculty, with evidence that it has the potential to exacerbate pre-pandemic gender inequities in work demands (Tugend, 2020). The impact of the pandemic may be particularly difficult for women in male-dominated STEM fields such as computer science that pose additional challenges and had high attrition rates among women faculty pre-pandemic (NSF, 2019; Weisgram & Diekman, 2017). The present study examined the mechanisms through which gender may have implications for changes in turnover intentions due to the pandemic among computer science faculty, with a focus on changes in work-family conflict and workplace attitudes. A total of 317 tenure-line and non-tenure line computer science faculty across the U.S. (54.26% women, 49.84% tenured) completed a survey that included items examining whether the pandemic changed work-family conflict, work-related attitudes (job satisfaction, sense of belonging, burnout), and turnover intentions. Results of analyses indicated that identifying as a woman indirectly predicted larger increases in turnover intentions due to the pandemic, through increased work-family conflict, burnout at work, and decreased feelings of job satisfaction. The results suggest that the pandemic has the potential to increase women’s attrition from computer science faculty positions, further exacerbating their underrepresentation. |
format | Online Article Text |
id | pubmed-10080514 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Springer US |
record_format | MEDLINE/PubMed |
spelling | pubmed-100805142023-04-07 The Impact of COVID-19 on U.S. Computer Science Faculty’s Turnover Intentions: The Role of Gender Lawson, Katie M. Barrineau, MaryJon Woodling, Chloe M. Ruggles, Sydney Largent, David L. Sex Roles Original Article The COVID-19 pandemic has been challenging for college faculty, with evidence that it has the potential to exacerbate pre-pandemic gender inequities in work demands (Tugend, 2020). The impact of the pandemic may be particularly difficult for women in male-dominated STEM fields such as computer science that pose additional challenges and had high attrition rates among women faculty pre-pandemic (NSF, 2019; Weisgram & Diekman, 2017). The present study examined the mechanisms through which gender may have implications for changes in turnover intentions due to the pandemic among computer science faculty, with a focus on changes in work-family conflict and workplace attitudes. A total of 317 tenure-line and non-tenure line computer science faculty across the U.S. (54.26% women, 49.84% tenured) completed a survey that included items examining whether the pandemic changed work-family conflict, work-related attitudes (job satisfaction, sense of belonging, burnout), and turnover intentions. Results of analyses indicated that identifying as a woman indirectly predicted larger increases in turnover intentions due to the pandemic, through increased work-family conflict, burnout at work, and decreased feelings of job satisfaction. The results suggest that the pandemic has the potential to increase women’s attrition from computer science faculty positions, further exacerbating their underrepresentation. Springer US 2023-04-07 2023 /pmc/articles/PMC10080514/ /pubmed/37090683 http://dx.doi.org/10.1007/s11199-023-01361-1 Text en © The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature 2023, corrected publication 2023Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law. This article is made available via the PMC Open Access Subset for unrestricted research re-use and secondary analysis in any form or by any means with acknowledgement of the original source. These permissions are granted for the duration of the World Health Organization (WHO) declaration of COVID-19 as a global pandemic. |
spellingShingle | Original Article Lawson, Katie M. Barrineau, MaryJon Woodling, Chloe M. Ruggles, Sydney Largent, David L. The Impact of COVID-19 on U.S. Computer Science Faculty’s Turnover Intentions: The Role of Gender |
title | The Impact of COVID-19 on U.S. Computer Science Faculty’s Turnover Intentions: The Role of Gender |
title_full | The Impact of COVID-19 on U.S. Computer Science Faculty’s Turnover Intentions: The Role of Gender |
title_fullStr | The Impact of COVID-19 on U.S. Computer Science Faculty’s Turnover Intentions: The Role of Gender |
title_full_unstemmed | The Impact of COVID-19 on U.S. Computer Science Faculty’s Turnover Intentions: The Role of Gender |
title_short | The Impact of COVID-19 on U.S. Computer Science Faculty’s Turnover Intentions: The Role of Gender |
title_sort | impact of covid-19 on u.s. computer science faculty’s turnover intentions: the role of gender |
topic | Original Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10080514/ https://www.ncbi.nlm.nih.gov/pubmed/37090683 http://dx.doi.org/10.1007/s11199-023-01361-1 |
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