A DYNAMIC SURVIVAL MODELING APPROACH TO THE PREDICTION OF WEB SURVEY BREAKOFF

IF 1.6 4区数学 Q2 SOCIAL SCIENCES, MATHEMATICAL METHODS

Journal of Survey Statistics and Methodology Pub Date : 2021-06-12 DOI:10.1093/JSSAM/SMAB015

Felicitas Mittereder, B. West

引用次数: 7

Abstract

Respondents who break off from a web survey prior to completing it are a prevalent problem in data collection. To prevent breakoff bias, it is crucial to keep as many diverse respondents in a web survey as possible. As a first step of preventing breakoffs, this study aims to understand breakoff and the associated response behavior. We analyze data from an annual online survey using dynamic survival models and ROC analyses. We find that breakoff risks between respondents using mobile devices versus PCs do not differ at the beginning of the questionnaire, but the risk for mobile device users increases as the survey progresses. Very fast respondents as well as respondents with changing response times both have a higher risk of quitting the questionnaire, compared to respondents with slower and steady response times. We conclude with a discussion of the implications of these findings for future practice and research in web survey methodology.

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网络调查断裂预测的动态生存建模方法

受访者在完成网络调查之前中断调查是数据收集中的一个普遍问题。为了防止脱离偏见，在网络调查中保持尽可能多的不同受访者是至关重要的。作为预防突发事件的第一步，本研究旨在了解突发事件及其相关的反应行为。我们使用动态生存模型和ROC分析来分析年度在线调查的数据。我们发现，在问卷调查开始时，使用移动设备和个人电脑的受访者之间的脱离风险没有差异，但随着调查的进行，移动设备用户的风险会增加。与反应时间较慢和稳定的受访者相比，反应速度较快的受访者和反应时间不断变化的受访者退出问卷的风险都更高。最后，我们讨论了这些发现对未来网络调查方法的实践和研究的影响。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Journal of Survey Statistics and Methodology Multiple-

CiteScore

4.30

自引率

9.50%

发文量

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.