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Modeling Contingency in Veteran Community Reintegration: A Mixed Methods Approach
Researchers need approaches for analyzing complex phenomena when assessing contingency relationships where specific conditions explain an outcome only when combined with other conditions. Using a mixed methods design, we paired configurational methods and qualitative thematic analysis to model conti...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
SAGE Publications
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9742921/ https://www.ncbi.nlm.nih.gov/pubmed/36523449 http://dx.doi.org/10.1177/15586898211059616 |
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author | Rattray, Nicholas A. Miech, Edward J. True, Gala Natividad, Diana Laws, Brian Frankel, Richard M. Kukla, Marina |
author_facet | Rattray, Nicholas A. Miech, Edward J. True, Gala Natividad, Diana Laws, Brian Frankel, Richard M. Kukla, Marina |
author_sort | Rattray, Nicholas A. |
collection | PubMed |
description | Researchers need approaches for analyzing complex phenomena when assessing contingency relationships where specific conditions explain an outcome only when combined with other conditions. Using a mixed methods design, we paired configurational methods and qualitative thematic analysis to model contingency in veteran community reintegration outcomes, identifying combinations of conditions that led to success or lack of success in community reintegration among US military veterans. This pairing allowed for modeling contingency at a detailed level beyond the capabilities of either approach alone. Our analysis revealed multiple contingent relationships at work in explaining reintegration, including social support, purpose, cultural adjustment, and military separation experiences. This study contributes to the field of mixed methods by pairing a mathematical cross-case method with a qualitative method to model contingency. |
format | Online Article Text |
id | pubmed-9742921 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | SAGE Publications |
record_format | MEDLINE/PubMed |
spelling | pubmed-97429212022-12-13 Modeling Contingency in Veteran Community Reintegration: A Mixed Methods Approach Rattray, Nicholas A. Miech, Edward J. True, Gala Natividad, Diana Laws, Brian Frankel, Richard M. Kukla, Marina J Mix Methods Res Articles Researchers need approaches for analyzing complex phenomena when assessing contingency relationships where specific conditions explain an outcome only when combined with other conditions. Using a mixed methods design, we paired configurational methods and qualitative thematic analysis to model contingency in veteran community reintegration outcomes, identifying combinations of conditions that led to success or lack of success in community reintegration among US military veterans. This pairing allowed for modeling contingency at a detailed level beyond the capabilities of either approach alone. Our analysis revealed multiple contingent relationships at work in explaining reintegration, including social support, purpose, cultural adjustment, and military separation experiences. This study contributes to the field of mixed methods by pairing a mathematical cross-case method with a qualitative method to model contingency. SAGE Publications 2022-02-24 2023-01 /pmc/articles/PMC9742921/ /pubmed/36523449 http://dx.doi.org/10.1177/15586898211059616 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by-nc/4.0/This article is distributed under the terms of the Creative Commons Attribution-NonCommercial 4.0 License (https://creativecommons.org/licenses/by-nc/4.0/) which permits non-commercial use, reproduction and distribution of the work without further permission provided the original work is attributed as specified on the SAGE and Open Access page (https://us.sagepub.com/en-us/nam/open-access-at-sage). |
spellingShingle | Articles Rattray, Nicholas A. Miech, Edward J. True, Gala Natividad, Diana Laws, Brian Frankel, Richard M. Kukla, Marina Modeling Contingency in Veteran Community Reintegration: A Mixed Methods Approach |
title | Modeling Contingency in Veteran Community Reintegration: A Mixed
Methods Approach |
title_full | Modeling Contingency in Veteran Community Reintegration: A Mixed
Methods Approach |
title_fullStr | Modeling Contingency in Veteran Community Reintegration: A Mixed
Methods Approach |
title_full_unstemmed | Modeling Contingency in Veteran Community Reintegration: A Mixed
Methods Approach |
title_short | Modeling Contingency in Veteran Community Reintegration: A Mixed
Methods Approach |
title_sort | modeling contingency in veteran community reintegration: a mixed
methods approach |
topic | Articles |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9742921/ https://www.ncbi.nlm.nih.gov/pubmed/36523449 http://dx.doi.org/10.1177/15586898211059616 |
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