Denning LA, Meisnere M, Warner KE, editors. Preventing psychological disorders in service members and their families: an assessment of programs. Washington, DC: National Academies Press; 2014.
Google Scholar
Eaton KM, Hoge CW, Messer SC, Whitt AA, Cabrera OA, McGurk D, et al. Prevalence of mental health problems, treatment need, and barriers to care among primary care-seeking spouses of military service members involved in Iraq and Afghanistan deployments. Mil Med. 2008;173(11):1051–6.
Article
PubMed
Google Scholar
Flake EM, Davis BE, Johnson PL, Middleton LS. The psychosocial effects of deployment on military children. J Dev Behav Pediatr. 2009;30(4):271–8.
Article
PubMed
Google Scholar
Lester P, Peterson K, Reeves J, Knauss L, Glover D, Mogil C, et al. The long war and parental combat deployment: effects on military children and at-home spouses. J Am Acad Child Adolesc Psychiatry. 2010;49(4):310–20.
PubMed
PubMed Central
Google Scholar
MacDermid Wadsworth SM. Family risk and resilience in the context of war and terrorism. J Marriage Fam. 2010;72(3):537–56.
Article
Google Scholar
Spera C. Spouses' ability to cope with deployment and adjust to Air Force family demands identification of risk and protective factors. Armed Forces Soc. 2009;35(2):286–306.
Article
Google Scholar
Obama B. Executive Order 13625. Improving access to mental health services for veterans, service members, and military families. Washington, DC: Office of the Press Secretary, The White House; 2012.
Google Scholar
Obama B. Strengthening our military families: meeting America’s commitment. Darby: DIANE Publishing; 2011.
Google Scholar
United States Department of Defense. The Department of Defense plan to achieve the vision of the DoD task force on mental health: report to Congress. Washington, DC: United States Department of Defense; 2007.
Google Scholar
White CJ, de Burgh HT, Fear NT, Iversen AC. The impact of deployment to Iraq or Afghanistan on military children: a review of the literature. Int Rev Psychiatry. 2011;23(2):210–7.
Article
PubMed
Google Scholar
Palmer C. A theory of risk and resilience factors in military families. Mil Psychol. 2008;20(3):205–17.
Article
Google Scholar
Park N. Military children and families: strengths and challenges during peace and war. Am Psychol. 2011;66(1):65–72.
Article
PubMed
Google Scholar
Tanielian T, Karney BR, Chandra A. Meadows SO; The Arroyo Center and The National Defense Research Institute (US). The Deployment Life Study: methodological overview and baseline sample description. Santa Monica: RAND Corporation; 2014.
Google Scholar
Crum‐Cianflone NF, Fairbank JA, Marmar CR, Schlenger W. The Millennium Cohort Family Study: a prospective evaluation of the health and well‐being of military service members and their families. Int J Methods Psychiatr Res. 2014;23(3):320–30.
Article
PubMed
Google Scholar
Lester P, Aralis H, Sinclair M, Kiff C, Lee K-H, Mustillo S, et al. The impact of deployment on parental, family and child adjustment in military families. Child Psychiatry Hum Dev. 2016; doi:10.1007/s10578-016-0624-9.
Defense Manpower Data Center. 2010 Military Family Life Project: tabulations of responses. Arlington: Human Resources Strategic Assessment Program; 2011. Accession Number: ADA609601.
Google Scholar
Defense Manpower Data Center. Military Family Life Project: Active Duty Spouse Study longitudinal analyses 2010–2012 project report. Arlington: Department of Defense, Office of the Deputy Assistant Secretary of Defense for Military Community and Family Policy; 2015.
Google Scholar
Defense Manpower Data Center. 2006 Survey of Active-Duty Spouses: administration, datasets, and codebook. Arlington: Defense Manpower Data Center; 2007.
Google Scholar
Groves RM, Peytcheva E. The impact of nonresponse rates on nonresponse bias: a meta-analysis. Public Opin Q. 2008;72(2):167–89.
Article
Google Scholar
Groves RM, Dilman D, Eltinge JL, Little RJA, editors. Survey nonresponse. New York: John Wiley & Sons; 2001.
Google Scholar
Eagan TM, Eide GE, Gulsvik A, Bakke PS. Nonresponse in a community cohort study: predictors and consequences for exposure–disease associations. J Clin Epidemiol. 2002;55(8):775–81.
Article
PubMed
Google Scholar
Pietilä A-M, Rantakallio P, Läärä E. Background factors predicting non-response in a health survey of northern Finnish young men. Scand J Soc Med. 1995;23(2):129–36.
PubMed
Google Scholar
Maclennan B, Kypri K, Langley J, Room R. Non-response bias in a community survey of drinking, alcohol-related experiences and public opinion on alcohol policy. Drug Alcohol Depend. 2012;126(1–2):189–94.
Article
PubMed
Google Scholar
Ekholm O, Gundgaard J, Rasmussen NK, Hansen EH. The effect of health, socio-economic position, and mode of data collection on non-response in health interview surveys. Scand J Public Health. 2010;38(7):699–706.
Article
PubMed
Google Scholar
Fischer EH, Dornelas EA, Goethe JW. Characteristics of people lost to attrition in psychiatric follow-up studies. J Nerv Ment Dis. 2001;189(1):49–55.
Article
CAS
PubMed
Google Scholar
Dunne MP, Martin NG, Bailey JM, Heath AC, Bucholz KK, Madden PA, et al. Participation bias in a sexuality survey: psychological and behavioural characteristics of responders and non-responders. Int J Epidemiol. 1997;26(4):844–54.
Article
CAS
PubMed
Google Scholar
Littman AJ, Boyko EJ, Jacobson IG, Horton J, Gackstetter GD, Smith B, et al. the Millenium Cohort Study. Assessing nonresponse bias at follow-up in a large prospective cohort of relatively young and mobile military service members. BMC Med Res Methodol. 2010;10:99.
Article
PubMed
PubMed Central
Google Scholar
Fear NT, Jones M, Murphy D, Hull L, Iversen AC, Coker B, et al. What are the consequences of deployment to Iraq and Afghanistan on the mental health of the UK armed forces? A cohort study. Lancet. 2010;375(9728):1783–97.
Article
PubMed
Google Scholar
Iversen A, Liddell K, Fear N, Hotopf M, Wessely S. Consent, confidentiality, and the Data Protection Act. BMJ. 2006;332(7534):165–9.
Article
PubMed
PubMed Central
Google Scholar
Iversen AC, van Staden L, Hughes JH, Browne T, Hull L, Hall J, et al. The prevalence of common mental disorders and PTSD in the UK military: using data from a clinical interview-based study. BMC Psychiatry. 2009;9:68.
Article
PubMed
PubMed Central
Google Scholar
Kulka RA, Schlenger WE, Fairbank JA, Hough RL, Jordan BK, Marmar CR, et al. Contractual report of findings from the National Vietnam Veterans Readjustment Study, volume II: table of findings. Durham: Research Triangle Institute; 1988. Accession Number: PB90164211.
Google Scholar
Zunzunegui M, Beland F, Gutiérrez-Cuadra P. Loss to follow-up in a longitudinal study on aging in Spain. J Clin Epidemiol. 2001;54(5):501–10.
Article
CAS
PubMed
Google Scholar
Cheung P, Schweitzer I, Yastrubetskaya O, Crowley K, Tuckwell V. Studies of aggressive behaviour in schizophrenia: is there a response bias? Med Sci Law. 1997;37(4):345–8.
CAS
PubMed
Google Scholar
Vanable PA, Carey MP, Carey KB, Maisto SA. Predictors of participation and attrition in a health promotion study involving psychiatric outpatients. J Consult Clin Psychol. 2002;70(2):362–8.
Article
PubMed
PubMed Central
Google Scholar
Crum-Cianflone NF. The Millennium Cohort Study: answering long-term health concerns of US military service members by integrating longitudinal survey data with Military Health System records. In: Amara J, Hendricks AM, editors. Military health care: from pre-deployment to post separation. New York: Routledge; 2013. p. 55–77. Accession number: ADA620647.
Google Scholar
Kroenke K, Spitzer RL, Williams JBW. The PHQ-9: validity of a brief depression severity measure. J Gen Intern Med. 2001;16(9):606–13.
Article
CAS
PubMed
PubMed Central
Google Scholar
Kazis LE, Lee A, Spiro A, Rogers W, Ren XS, Miller DR, et al. Measurement comparisons of the Medical Outcomes Study and Veterans SF-36® Health Survey. Health Care Financ Rev. 2004;25(4):43–58.
PubMed
PubMed Central
Google Scholar
Kazis LE, Miller DR, Clark JA, Skinner KM, Lee A, Ren XS, et al. Improving the response choices on the Veterans SF‐36 Health Survey role functioning scales: results from the Veterans Health Study. J Ambul Care Manage. 2004;27(3):263–80.
Article
PubMed
Google Scholar
Holmes TH, Rahe RH. The social readjustment rating scale. J Psychosom Res. 1967;11(2):213–8.
Article
CAS
PubMed
Google Scholar
Hobson CJ, Kamen J, Szostek J, Nethercut CM, Tiedmann JW, Wojnarowicz S. Stressful life events: a revision and update of the social readjustment rating scale. Int J Stress Manag. 1998;5(1):1–23.
Article
Google Scholar
Weathers FW, Litz BT, Herman D, Huska J, Keane T. The PTSD CheckList - civilian version (PCL-C). Boston: National Center for PTSD; 1994.
Google Scholar
Tedeschi RG, Calhoun LG. The Posttraumatic Growth Inventory: measuring the positive legacy of trauma. J Trauma Stress. 1996;9(3):455–71.
Article
CAS
PubMed
Google Scholar
Pearlin LI, Schooler C. The structure of coping. J Health Soc Behav. 1978;19(1):2–21.
Article
CAS
PubMed
Google Scholar
Morin CM, Belleville G, Bélanger L, Ivers H. The Insomnia Severity Index: psychometric indicators to detect insomnia cases and evaluate treatment response. Sleep. 2011;34(5):601–8.
PubMed
PubMed Central
Google Scholar
Ewing JA. Detecting alcoholism: the CAGE questionnaire. JAMA. 1984;252(14):1905–7.
Article
CAS
PubMed
Google Scholar
Centers for Disease Control and Prevention. National Health and Nutrition Examination Survey, 1999–2000 data documentation, codebook, and frequencies. Hyattsville: US Department of Health and Human Services, Centers for Disease Control and Prevention; 2002.
Google Scholar
Centers for Disease Control and Prevention. National Center for Health Statistics. National Health Interview Survey and Health Evaluation Assessment Review. Hyattsville: US Department of Health and Human Services, Centers for Disease Control and Prevention; 2001.
Google Scholar
Kreuter F, Olson K. Multiple auxiliary variables in nonresponse adjustment. Sociol Methods Res. 2011;40(2):311–32.
Article
Google Scholar
Izrael D, Battaglia MP, Frankel MR. Extreme survey weight adjustment as a component of sample balancing (a.k.a. raking). In: Proceedings from the 34th Annual SAS Users Group International Conference March 22–25, 2009, Washington, DC. 2009. p. 247.
Google Scholar
Izrael D, Hoaglin DC, Battaglia MP. A SAS macro for balancing a weighted sample. In: Proceedings from the 25th Annual SAS Users Group International Conference April 9–12, 2000, Indianapolis, IN. 2000. p. 1350–5.
Google Scholar
David MH, Little R, Samuhel ME, Triest RK. Nonrandom nonresponse models based on the propensity to respond. In: Proceedings of the Business and Economic Statistics Section. Alexandria: American Statistical Association; 1983. p. 168–73.
Google Scholar
Smith PJ, Rao JNK, Battaglia MP, Ezzati-Rice TM, Daniels D, Khare M. Centers for Disease Control and Prevention, National Center for Health Statistics. Compensating for provider nonresponse using response propensities to form adjustment cells: the National Immunization Survey. Vital Health Stat. 2001;2(133):1–17.
Google Scholar
Hosmer DW, Lemeshow S. Introduction to the logistic regression model. In: Applied logistic regression. 2nd ed. Hoboken: John Wiley & Sons; 2000. p. 1–30.
Chapter
Google Scholar
Groves RM. Nonresponse rates and nonresponse bias in household surveys. Public Opin Q. 2006;70(5):646–75.
Article
Google Scholar