The impact of military lifestyle demands on well-being, army, and family outcomes

Armed Forces and Society

Volumn 33, Issue 1, 2006, Pages 43-58

  Burrell, Lolita M ^a   Adams, Gary A ^b   Durand, Doris Briley ^d   Castro, Carl Andrew ^c  

^a U S ARMY RESEARCH INSTITUTE OF ENVIRONMENTAL MEDICINE   (United States)

^b UNIVERSITY OF WISCONSIN OSHKOSH   (United States)

^c WALTER REED ARMY INSTITUTE OF RESEARCH   (United States)

^d NONE

Author keywords

Deployment; Military family; Relocation; Separation; Well being

Indexed keywords

EID: 33748320884     PISSN: 0095327X     EISSN: None     Source Type: Journal    
DOI: 10.1177/0002764206288804     Document Type: Article

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57. While we did not specifically ask spouses what their soldiers' military occupational specialties were, the units represented were diverse and included soldiers who were in Combat Arms, Combat Support and Combat Service Support positions.
58. The response rate may be slightly higher since, in some cases, we had to rely on the units to distribute the questionnaires, and it is possible that not all were distributed. However, we are making the assumption that all surveys provided to the units were given to the spouses.
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64. As can be seen in Table 2, the Pearson's correlations for number of separations did not yield significant results, yet for the outcomes in Tables 5 to 7, the betas for number of separations were significant. The betas in the regression analysis reflect the relationships between the independent and the dependent variables while controlling for all of the other predictor variables in the model, whereas with the Pearson correlations, the other independent variables are not controlled for, thus resulting in different outcomes.
65. We reran the analyses replacing the continuous rank variable with years of service, and the findings were similar. In addition, we reran the analyses using enlisted and officer as dichotomous rank variables and still had similar findings.
66. 2.
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