Modeling Contingency in Veteran Community Reintegration: A Mixed Methods Approach

Author:

Rattray Nicholas A.123ORCID,Miech Edward J.123ORCID,True Gala45,Natividad Diana1,Laws Brian1,Frankel Richard M.123,Kukla Marina16

Affiliation:

1. Roudebush VA Medical Center, Center for Health Information and Communication (CHIC), Indianapolis, IN, USA

2. Department of Internal Medicine, Indiana University School of Medicine, Indianapolis, IN, USA

3. Regenstrief Institute, Inc, Indianapolis, IN, USA

4. South Central MIRECC Southeast Louisiana Veterans Health Care System, New Orleans, LA, USA

5. Section of Community and Population Medicine, Louisiana State University School of Medicine, New Orleans, LA, USA

6. IUPUI Department of Psychology, Indianapolis, IN, USA

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.

Funder

Indiana Institute for Medical Research

U.S. Department of Veterans Affairs

VA HSR&D Expanding Expertise Through E-health Network Development

Publisher

SAGE Publications

Subject

Statistics, Probability and Uncertainty,Social Sciences (miscellaneous),Education

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