Nonresponse rates and nonresponse bias in household surveys
Nonresponse rates and nonresponse bias in household surveys
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DOI：
10.1093/poq/nfl033
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发表时间：
2006-01-01
影响因子：
3.4
通讯作者：
Groves, Robert M.
中科院分区：
文献类型：
--
作者：
Groves, Robert M.
对美国家庭人口的许多调查都经历了更高的拒绝率。无反应可以，但不一定，在调查估计中引起无反应偏差。最近的经验发现说明了无反应率和无反应偏差之间没有联系的情况。尽管如此，专业标准仍在推动高回复率。无反应偏差的统计表达式可以转化为因果模型，以指导关于无反应何时导致偏差的假设。存在测量无反应偏差的替代设计，提供关于偏差性质的不同但不完整的信息。一项估计无反应偏差的研究综述表明，这种偏差经常存在。在历史的这个时刻，一个合乎逻辑的问题是，如果抽样调查的无回复率很高，他们有什么优势。由于无反应的调查后调整需要辅助变量，因此答案取决于设计的性质和辅助变量的质量。
Many surveys of the U.S. household population are experiencing higher refusal rates. Nonresponse can, but need not, induce nonresponse bias in survey estimates. Recent empirical findings illustrate cases when the linkage between nonresponse rates and nonresponse biases is absent. Despite this, professional standards continue to urge high response rates. Statistical expressions of nonresponse bias can be translated into causal models to guide hypotheses about when nonresponse causes bias. Alternative designs to measure nonresponse bias exist, providing different but incomplete information about the nature of the bias. A synthesis of research studies estimating nonresponse bias shows the bias often present. A logical question at this moment in history is what advantage probability sample surveys have if they suffer from high nonresponse rates. Since postsurvey adjustment for nonresponse requires auxiliary variables, the answer depends on the nature of the design and the quality of the auxiliary variables.