Year: 2022
Type: article
Abstract: Background Service member retention is a crucial aspect in maintaining and advancing the U.S. military and its mission. To increase retention, it is important to understand why active duty personnel voluntarily leave while they are still highly qualified. For married service members, spouses likely influence the decision to stay or leave military service. Objective The current study used data from the Millennium Cohort Family Study for 4,539 dyads comprising service members and their spouses to investigate family predictors of voluntary military separation. Methods Multivariate mediation analyses were conducted to evaluate the role of military satisfaction (spouse and service member) and work–family conflict as mediators of the effects of both family life and military stressors on risk for military separation, while accounting for spouse and service member demographics. Results Results identified significant family factors operating through work–family conflict and military satisfaction that were associated with increased likelihood of service member voluntary separation, including number of children, spouse bothered by finances, and service member months away from home. Service members with spouses who reported higher levels of social support were significantly less likely to voluntarily separate, after operating through both work–family conflict and military satisfaction. Conclusion and Implications Findings suggest that work–family conflict and military satisfaction play an important synergistic role in predicting the impact family and career factors have on voluntary separation. These modifiable factors may guide potential interventions to increase military retention efforts.
Source: Family Relations
DOI: 10.1111/fare.12757
Authors: Kelly A. Woodall, Alejandro P. Esquivel, Teresa M. Powell, Lyndon A. Riviere, Paul J. Amoroso, Valerie A. Stander, for the Millennium Cohort Family Study Team
Language: English
Subfield: Sociology and Political Science
Field: Social Sciences
Domain: Social Sciences
Open Access status: hybrid
Estimated APC paid: $3,250
Awards: G1927629091, G4308220551
OpenAlex ID: W4293747063
