Are Lower Response Rates Hazardous to Your Health Survey? An Analysis of Three State Telephone Health Surveys
Are Lower Response Rates Hazardous to Your Health Survey? An Analysis of Three State Telephone Health Surveys
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DOI：
10.1111/j.1475-6773.2010.01128.x
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发表时间：
2010-10-01
影响因子：
3.4
通讯作者：
Call, Kathleen Thiede
中科院分区：
文献类型：
--
作者：
Davern, Michael;McAlpine, Donna;Call, Kathleen Thiede
Objectiveinvestigationinthreehealthteleonsurvey.Data SourceThree电话调查的非机构化的成年人在明尼苏达州和俄克拉荷马州进行了2003年至2005年。研究设计我们研究的差异，人口统计学和健康措施的电话尝试完成之前，调查或是否家庭最初拒绝参加。我们比较了我们实际获得的点估计值与那些我们用不太积极的方案和随后的较低响应率获得的点估计值。我们还模拟了如果遵循不那么激进的方案，有效样本量会是多少。主要发现未加权双变量分析显示，早期完成者和需要更多联系的人之间以及最初拒绝参与的人和不参与的人之间存在许多差异。然而，在进行标准的后分层调整后，我们在早期应答者和来自完整报告样本的估计值之间检查的关键健康变量中没有观察到统计学显著差异。更大的统计能力）可以利用相同数量的资金使用更少的主动呼叫协议来实现。对于某些研究，花在积极追求高应答率上的钱可以更好地用于增加统计功效和/或直接检查无应答偏倚。
ObjectiveTo examine the impact of response rate variation on survey estimates and costs in three health telephone surveys.Data SourceThree telephone surveys of noninstitutionalized adults in Minnesota and Oklahoma conducted from 2003 to 2005.Study DesignWe examine differences in demographics and health measures by number of call attempts made before completion of the survey or whether the household initially refused to participate. We compare the point estimates we actually obtained with those we would have obtained with a less aggressive protocol and subsequent lower response rate. We also simulate what the effective sample sizes would have been if less aggressive protocols were followed.Principal FindingsUnweighted bivariate analyses reveal many differences between early completers and those requiring more contacts and between those who initially refused to participate and those who did not. However, after making standard poststratification adjustments, no statistically significant differences were observed in the key health variables we examined between the early responders and the estimates derived from the full reporting sample.ConclusionsOur findings demonstrate that for the surveys we examined, larger effective sample sizes (i.e., more statistical power) could have been achieved with the same amount of funding using less aggressive calling protocols. For some studies, money spent on aggressively pursuing high response rates could be better used to increase statistical power and/or to directly examine nonresponse bias.