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Modeling Contingency in Veteran Community Reintegration: A Mixed Methods Approach.

Authors :
Rattray NA
Miech EJ
True G
Natividad D
Laws B
Frankel RM
Kukla M
Source :
Journal of mixed methods research [J Mix Methods Res] 2023 Jan; Vol. 17 (1), pp. 70-92. Date of Electronic Publication: 2022 Feb 24.
Publication Year :
2023

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.<br />Competing Interests: The author(s) declared no potential conflicts of interest with respect to the research, authorship, and/or publication of this article.<br /> (© The Author(s) 2022.)

Details

Language :
English
ISSN :
1558-6898
Volume :
17
Issue :
1
Database :
MEDLINE
Journal :
Journal of mixed methods research
Publication Type :
Academic Journal
Accession number :
36523449
Full Text :
https://doi.org/10.1177/15586898211059616