Corry Nida H, Williams Christianna S, Battaglia Mike, McMaster Hope Seib, Stander Valerie A
Abt Associates Inc., Central Park West, Suite 210, 5001 South Miami Boulevard, 27703, Durham, NC, USA.
Military Population Health Directorate at the Naval Health Research Center, 140 Sylvester Road, 92106, San Diego, CA, USA.
BMC Med Res Methodol. 2017 Jan 28;17(1):16. doi: 10.1186/s12874-017-0294-8.
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.
Multivariate logistic regression analysis was used to develop a comprehensive response propensity model.
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.
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.
在开展基于人群的调查时，在对数据进行分析和报告结果之前，全面检查并调整潜在的无应答偏差以提高样本的代表性非常重要。本文考察了在千禧队列家庭研究基线数据收集期间导致第二阶段调查无应答的因素，该研究是一项针对美国所有军种的现役军人及其配偶的大型纵向研究。
采用多变量逻辑回归分析来建立一个综合的应答倾向模型。
结果显示，大多数军人的社会人口统计学、军事和行政变量与无应答显著相关，各种健康行为、心理健康指标以及财务和社会问题也与之相关。然而，许多因素的影响相当小，一些人口统计学和调查行政变量解释了最大的方差。
千禧队列家庭研究受到一些通常影响调查研究的无应答因素的影响。特别是，招募年轻、男性和少数族裔人群以及初级职级人员具有挑战性。尽管如此，我们的结果表明，通过有针对性的过采样和招募以及全面的调查加权策略，可以有效地提高代表性人群抽样的成功率。
