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Author: Stone, Debra M.
Resulting in 1 citation.
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Stone, Debra M. |
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Predictors of Military Enlistment: Analysis of Adverse Childhood Experiences, Socio-economic Status, Educational Achievement, and Delinquency Ph.D. Dissertation, Department of Social Work, The Catholic University of America, 2017 Cohort(s): NLSY97 Publisher: ProQuest Dissertations & Theses (PQDT) Keyword(s): Childhood Adversity/Trauma; Delinquency/Gang Activity; Educational Attainment; Military Enlistment; Socioeconomic Status (SES) Permission to reprint the abstract has not been received from the publisher. The Department of Defense enlists approximately 180,000 new military recruits each year and is considered the largest employer of young adults in the United States. Socio-economic support and educational tuition assistance are the two primary reasons indicated to enlist in the military. In recent studies, two other variables, delinquency and adverse childhood experiences (ACEs), have also been shown to be linked to military enlistment. This study investigates these four variables as predictors of military enlistment. Predictors of military enlistment represent critical human and social influences on young adults making the transition from adolescence to adulthood and this knowledge is important for effective clinical and macro social work practice. For young adults with a history of delinquency and ACEs, the military may be one of the only organizations able to facilitate this transition. To investigate these variables as predictors of military enlistment, the study used the National Longitudinal Survey of Youth (NLSY) (1997) dataset to conduct a logistic regression analysis of four independent variables (socio-economic status, educational achievement, delinquency, and ACEs) on the dependent variable, military enlistment. The sample was formed through random selection of matching military enlistees with the same age, race, and gender characteristics to those who never enlisted. The independent variables were defined using data from the NLSY97 dataset for household income, educational level, delinquency index, and an ACEs score was constructed from ten variables from the NLSY97 dataset. The results of the study found that the interaction of delinquency with ACEs produced the strongest predictive factor of military enlistment (p < .05), which was followed by the interaction of delinquency with educational achievement (p < .05). |
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Bibliography Citation
Stone, Debra M. Predictors of Military Enlistment: Analysis of Adverse Childhood Experiences, Socio-economic Status, Educational Achievement, and Delinquency. Ph.D. Dissertation, Department of Social Work, The Catholic University of America, 2017. |