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Modeling Contingency in Veteran Community Reintegration: A Mixed Methods Approach

Overview
Publisher Sage Publications
Specialty Social Sciences
Date 2022 Dec 16
PMID 36523449
Authors
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Abstract

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.

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References
1.
Elnitsky C, Blevins C, Fisher M, Magruder K . Military service member and veteran reintegration: A critical review and adapted ecological model. Am J Orthopsychiatry. 2017; 87(2):114-128. DOI: 10.1037/ort0000244. View

2.
Jeffreys M, Leibowitz R, Finley E, Arar N . Trauma disclosure to health care professionals by veterans: clinical implications. Mil Med. 2010; 175(10):719-24. DOI: 10.7205/milmed-d-10-00054. View

3.
Adler A, Britt T, Castro C, McGurk D, Bliese P . Effect of transition home from combat on risk-taking and health-related behaviors. J Trauma Stress. 2011; 24(4):381-9. DOI: 10.1002/jts.20665. View

4.
Crocker T, Powell-Cope G, Brown L, Besterman-Dahan K . Toward a veteran-centric view on community (re)integration. J Rehabil Res Dev. 2014; 51(3):xi-xvii. DOI: 10.1682/JRRD.2014.01.00111. View

5.
Eekhout I, Reijnen A, Vermetten E, Geuze E . Post-traumatic stress symptoms 5 years after military deployment to Afghanistan: an observational cohort study. Lancet Psychiatry. 2015; 3(1):58-64. DOI: 10.1016/S2215-0366(15)00368-5. View