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改进覆盖范围测量核心小组验证研究对住户调查的观点和影响。

Perspectives and implications of the Improving Coverage Measurement Core Group's validation studies for household surveys.

机构信息

Demographic and Health Surveys Program, ICF, Rockville, Maryland, USA.

Data & Analytics, Division of Data, Research and Policy, UNICEF, New York, New York, USA.

出版信息

J Glob Health. 2018 Jun;8(1):010606. doi: 10.7189/jogh.08.010606.

Abstract

BACKGROUND

Formal validation studies are of critical importance in determining whether or not household survey questions are providing accurate information on what they intend to measure. These studies supplement an array of methods used to evaluate survey questions.

METHODS AND FINDINGS

This paper summarizes the methods used by the two major international household survey programmes - The Demographic and Health Surveys Program (DHS) and the Multiple Indicator Cluster Surveys (MICS) - to decide on possible modifications to the survey questions, nomenclature, tables, and interpretation of findings over time as additional information on the validity of the questions becomes available.

CONCLUSIONS

Validation studies are most useful if they are conducted in a variety of different settings in low- and middle-income countries, preferably using representative samples and procedures that replicate DHS and MICS field conditions. Pilot tests, pre-tests in each country, feedback from interviewers and survey staff, and cognitive interviewing provide additional information about how well survey questions are understood and provide accurate information. The paper provides specific examples of changes that have been made in response to findings from validation studies and changes in international recommendations.

摘要

背景

在确定家庭调查问题是否提供了有关其意图测量内容的准确信息方面,正式验证研究至关重要。这些研究补充了用于评估调查问题的一系列方法。

方法和发现

本文总结了两个主要的国际家庭调查项目——人口与健康调查计划(DHS)和多指标类集调查(MICS)——用于决定对调查问题、命名法、表格和发现的解释进行可能修改的方法,随着有关问题有效性的更多信息的出现。

结论

如果在不同的低收入和中等收入国家的各种环境中进行验证研究,最好使用复制 DHS 和 MICS 现场条件的代表性样本和程序,那么验证研究最为有用。试点测试、每个国家的预测试、来自访谈者和调查人员的反馈以及认知访谈提供了有关调查问题理解程度和提供准确信息的更多信息。本文提供了针对验证研究结果和国际建议变化而做出的具体更改示例。

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