符合行动目的:全国互联网流感调查的设计、实施和评估。

IF 1.6 4区 数学 Q2 SOCIAL SCIENCES, MATHEMATICAL METHODS
Jill A Dever, Ashley Amaya, Anup Srivastav, Peng-Jun Lu, Jessica Roycroft, Marshica Stanley, M Christopher Stringer, Michael G Bostwick, Stacie M Greby, Tammy A Santibanez, Walter W Williams
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引用次数: 0

摘要

研究人员努力设计和实施高质量的调查,以最大限度地利用所收集的数据。然而,质量和有用性的定义因调查而异,并取决于分析需要。在完成设计之前,调查团队必须评估各种决策的权衡,例如何时需要结果及其所需的精度水平,以及预算等实际约束。适合目的(FfP)概念中的特征可以提供考虑权衡的框架。此外,该工具能够对结果估计的质量进行评估。然而,在这种情况下实现FfP框架并不是直截了当的。在这篇文章中,我们为读者提供了一个FfP框架的一瞥,以获得对早期流感疫苗接种覆盖率的估计,以及在美国18岁及以上的非机构成年人中与流感和流感预防相关的知识、态度、行为和障碍的估计。该调查是由美国疾病控制与预防中心发起的一项为期两周的年度网络调查。除了关键的设计决策外,我们还使用已建立的NIFS FfP框架来讨论NIFS在满足预期目标方面的质量。我们强调工作良好的方面和其他需要进一步评估的调查特征。比较NIFS与全国流感调查、全国健康访谈调查和行为风险因素监测系统所发现的差异,通过各自的FfP特征进行讨论。本文的研究结果强调了FfP框架在设计调查、定义数据质量以及提供一套用于宣传调查数据和结果预期用途的指标方面的重要性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
FIT FOR PURPOSE IN ACTION: DESIGN, IMPLEMENTATION, AND EVALUATION OF THE NATIONAL INTERNET FLU SURVEY.

Researchers strive to design and implement high-quality surveys to maximize the utility of the data collected. The definitions of quality and usefulness, however, vary from survey to survey and depend on the analytic needs. Survey teams must evaluate the trade-offs of various decisions, such as when results are needed and their required level of precision, in addition to practical constraints like budget, before finalizing the design. Characteristics within the concept of fit for purpose (FfP) can provide the framework for considering the trade-offs. Furthermore, this tool can enable an evaluation of quality for the resulting estimates. Implementation of a FfP framework in this context, however, is not straightforward. In this article, we provide the reader with a glimpse of a FfP framework in action for obtaining estimates on early season influenza vaccination coverage estimates and on knowledge, attitudes, behaviors, and barriers related to influenza and influenza prevention among civilian noninstitutionalized adults aged 18 years and older in the United States. The result is the National Internet Flu Survey (NIFS), an annual, two-week internet survey sponsored by the US Centers for Disease Control and Prevention. In addition to critical design decisions, we use the established NIFS FfP framework to discuss the quality of the NIFS in meeting the intended objectives. We highlight aspects that work well and other survey traits requiring further evaluation. Differences found in comparing the NIFS to the National Flu Survey, the National Health Interview Survey, and Behavioral Risk Factor Surveillance System are discussed via their respective FfP characteristics. The findings presented here highlight the importance of the FfP framework for designing surveys, defining data quality, and providing a set a metrics used to advertise the intended use of the survey data and results.

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来源期刊
CiteScore
4.30
自引率
9.50%
发文量
40
期刊介绍: The Journal of Survey Statistics and Methodology, sponsored by AAPOR and the American Statistical Association, began publishing in 2013. Its objective is to publish cutting edge scholarly articles on statistical and methodological issues for sample surveys, censuses, administrative record systems, and other related data. It aims to be the flagship journal for research on survey statistics and methodology. Topics of interest include survey sample design, statistical inference, nonresponse, measurement error, the effects of modes of data collection, paradata and responsive survey design, combining data from multiple sources, record linkage, disclosure limitation, and other issues in survey statistics and methodology. The journal publishes both theoretical and applied papers, provided the theory is motivated by an important applied problem and the applied papers report on research that contributes generalizable knowledge to the field. Review papers are also welcomed. Papers on a broad range of surveys are encouraged, including (but not limited to) surveys concerning business, economics, marketing research, social science, environment, epidemiology, biostatistics and official statistics. The journal has three sections. The Survey Statistics section presents papers on innovative sampling procedures, imputation, weighting, measures of uncertainty, small area inference, new methods of analysis, and other statistical issues related to surveys. The Survey Methodology section presents papers that focus on methodological research, including methodological experiments, methods of data collection and use of paradata. The Applications section contains papers involving innovative applications of methods and providing practical contributions and guidance, and/or significant new findings.
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