Effective Observational Strategies for Health Survey Interviewers

健康调查访调员的有效观察策略

• 批准号: 8739300
• 负责人: Brady T West
• 金额: $ 7.56万
• 依托单位: UNIVERSITY OF MICHIGAN AT ANN ARBOR
• 依托单位国家: 美国
• 财政年份: 2013
• 资助国家: 美国
• 起止时间: 2013-09-21 至 2016-08-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/8739300
• 关键词: Anthropology; Area; Censuses; Cluster Analysis; Collection; Data; Data Collection; Ear; Effectiveness; Eye; Family; Growth; Health; Health Surveys; Household; Human; Interviewer; Lead; Literature; Measures; Methods; Michigan; National Health Interview Survey; Nonrespondent; Policies; Population; Psychology; Public Health; Research; Research Methodology; Research Project Grants; Respondent; Sampling; Source; Subgroup; Surveys; Techniques; Training; Universities; Work; base; cost effective; design; improved; multilevel analysis; programs; psychologic; public health relevance; response; theories

DESCRIPTION (provided by applicant): In large health surveys like the National Health Interview Survey (NHIS, currently conducted by the U.S. Census Bureau) and the National Survey of Family Growth (NSFG, currently conducted by the University of Michigan), observations that interviewers record describing selected features of all sampled units represent a promising, cost-effective source of auxiliary information that survey statisticians can use for nonresponse adjustment of survey estimates and responsive survey designs. Interviewers are the eyes and ears of the survey organization out in the field, and a small literature has shown that interviewers can successfully record observations on features of sampled units that are correlated with both key survey measures and response propensity. Unfortunately, these observations have been shown to be prone to error, and a growing body of research has demonstrated that increasing levels of error in the observations can limit the effectiveness of nonresponse adjustments. Furthermore, initial work in this area has found that interviewers vary substantially in the accuracy of their observations, even after controlling for interviewer- and household-level covariates. No existing study has attempted to identify additional sources of this variance. Motivated by literature in psychology and anthropology that examines sources of bias in human observation and preliminary work suggesting that interviewers vary in terms of their observational strategies, the proposed research aims to: 1) perform a qualitative analysis of several thousand justifications provided by NSFG interviewers for their observations on two key features of all sampled NSFG households; 2) use cluster analysis techniques to determine whether unique subgroups of NSFG interviewers exist based on the observational strategies evident in their justifications; and 3) use multilevel modeling techniques to compare the accuracy of the two observations among the identified subgroups of interviewers, controlling for other relevant correlates of observation accuracy. Successful completion of the proposed research will provide designers of health surveys with evidence of effective observational strategies that can help to standardize the collection of interviewer observations, and demonstrate a new research methodology that survey agencies can use to inform interviewer training.

DESCRIPTION (provided by applicant): In large health surveys like the National Health Interview Survey (NHIS, currently conducted by the U.S. Census Bureau) and the National Survey of Family Growth (NSFG, currently conducted by the University of Michigan), observations that interviewers record describing selected features of all sampled units represent a promising, cost-effective source of auxiliary information that survey statisticians can use for nonresponse adjustment of survey estimates and responsive survey设计。访调员是现场调查组织的眼睛和耳朵，一小部分文献表明，访调员可以成功记录与与关键调查措施和响应倾向相关的采样单元的特征的观察结果。不幸的是，这些观察结果已被证明很容易出现错误，并且越来越多的研究表明，观察结果的误差水平增加可以限制无响应调整的有效性。此外，该领域的初步工作发现，即使在控制了访调员和家庭级别的协变量之后，访调员的观察准确性也有很大差异。没有现有的研究试图识别该方差的其他来源。 受到心理学和人类学文学的动机，研究了人类观察和初步工作中偏见的来源，这表明访调员的观察策略有所不同，拟议的研究目的是：1）对NSFG访问者提供的数千种合法性进行定性分析，以对他们对所有采样的NSFG家庭的两种关键特征进行观察，以进行几千个理由。 2）使用聚类分析技术根据其理由中明显的观察策略来确定NSFG访调员的独特子组是否存在； 3）使用多级建模技术比较访调员已确定的亚组之间两个观察结果的准确性，从而控制了其他相关的观察准确性相关性。拟议研究的成功完成将为设计师提供有效的观察策略的证据，这些策略可以帮助标准化访调员观察的收集，并证明了一种新的研究方法，调查机构可以使用该方法来告知面试官培训。