Response and nonresponse bias in oral health surveys
Response and nonresponse bias in oral health surveys
复制标题
DOI：
10.1111/j.1752-7325.2000.tb03298.x
复制
发表时间：
2000-03-01
影响因子：
2.3
通讯作者：
Locker, D
中科院分区：
文献类型：
--
作者：
Locker, D
进行口腔健康调查是为了提供对人群或人群亚组的牙齿健康和行为的估计。然而，抽样调查数据的完整性可能会受到一个或多个抽样和非抽样误差来源的影响。非抽样误差的一个重要来源是未能从样本中的某些个体收集数据。因此，在使用抽样调查得出的估计值时，需要考虑对抽样调查的答复以及因无答复而引起的偏差的方向和幅度。尽管调查的答复率通常被用作衡量其提供的数据质量的指标，但不答复误差是不答复以及答复者和不答复者特征差异程度的函数。不答复可以通过两种方式进行管理。第一个是使用响应增强策略将不响应减少到最低限度。第二个是使用加权或插补技术对数据进行调查后调整，以产生纠正无答复的估计值。本文讨论了口腔健康调查中有关反应和不反应偏差的问题，并提供了管理和报告不反应的指南。它描述了减少不接触和拒绝的响应增强策略、促进响应者和不响应者比较的数据来源、评估不响应引起的偏差程度的方法、产生调整后的调查估计的技术以及这些程序和过程所基于的假设。
Oral health surveys are undertaken to provide estimates of the dental health and behaviors of populations or population subgroups. However, the integrity of the data from sample surveys may be compromised by one or more sources of sampling and nonsampling error. An important source of nonsampling error is the failure to collect data from some of the individuals comprising the sample. Consequently, the response to a sample survey, and the direction and magnitude of bias induced by nonresponse, need to be taken into account when using estimates derived from sample surveys. Although the response rate to a survey is usually used as an indicator of the quality of the data it provides, nonresponse error is a function of nonresponse and the extent of differences in the characteristics of responders and nonresponders. Nonresponse may be managed in two ways. The first is to reduce nonresponse to a minimum using response-enhancement strategies. The second is the post-survey adjustment of data using weighting or imputation techniques to produce estimates that correct for nonresponse. This paper discusses issues concerning response and nonresponse bias in oral health surveys and provides guidelines on the management and reporting of nonresponse. It describes response-enhancement strategies to reduce noncontacts and refusals, sources of data to facilitate the comparison of responders and nonresponders, methods of assessing the degree of bias induced by nonresponse, techniques for producing adjusted survey estimates and the assumptions on which these procedures and processes are based.