Assessing and adjusting for non-response in the Millennium Cohort Family Study

BMC Medical Research Methodology

Nida H. Corry¹  Christianna S. Williams¹  Mike Battaglia¹  Hope Seib McMaster²  Valerie A. Stander² 

[1] Abt Associates Inc.;Military Population Health Directorate at the Naval Health Research Center;

关键词: Nonresponse bias;    US military;    Dyadic recruitment;    Propensity score modeling;    Survey weighting;   

DOI  :  10.1186/s12874-017-0294-8

来源: DOAJ

【 摘 要 】

Abstract Background In conducting population-based surveys, it is important to thoroughly examine and adjust for potential non-response bias to improve the representativeness of the sample prior to conducting analyses of the data and reporting findings. This paper examines factors contributing to second stage survey non-response during the baseline data collection for the Millennium Cohort Family Study, a large longitudinal study of US service members and their spouses from all branches of the military. Methods Multivariate logistic regression analysis was used to develop a comprehensive response propensity model. Results Results showed the majority of service member sociodemographic, military, and administrative variables were significantly associated with non-response, along with various health behaviours, mental health indices, and financial and social issues. However, effects were quite small for many factors, with a few demographic and survey administrative variables accounting for the most substantial variance. Conclusions The Millennium Cohort Family Study was impacted by a number of non-response factors that commonly affect survey research. In particular, recruitment of young, male, and minority populations, as well as junior ranking personnel, was challenging. Despite this, our results suggest the success of representative population sampling can be effectively augmented through targeted oversampling and recruitment, as well as a comprehensive survey weighting strategy.

【 授权许可】

Unknown