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

Authors :
Rattray, Nicholas A.
Miech, Edward J.
True, Gala
Natividad, Diana
Laws, Brian
Frankel, Richard M.
Kukla, Marina
Source :
Journal of Mixed Methods Research; Jan2023, Vol. 17 Issue 1, p70-92, 23p
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. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
15586898
Volume :
17
Issue :
1
Database :
Complementary Index
Journal :
Journal of Mixed Methods Research
Publication Type :
Academic Journal
Accession number :
160708777
Full Text :
https://doi.org/10.1177/15586898211059616