An Experimental Comparison of Three Strategies for Converting Mail Respondents in a Probability-Based Mixed-Mode Panel to Internet Respondents

IF 1.6 4区 数学 Q2 SOCIAL SCIENCES, MATHEMATICAL METHODS Journal of Survey Statistics and Methodology Pub Date : 2021-08-17 DOI:10.1093/jssam/smab002
David Bretschi, Ines Schaurer, D. Dillman
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引用次数: 7

Abstract

In recent years, web-push strategies have been developed in cross-sectional mixed-mode surveys to improve response rates and reduce the costs of data collection. However, pushing respondents into the more cost-efficient web mode has rarely been examined in the context of panel surveys. This study evaluates how a web-push intervention affects the willingness of panel members to switch survey modes from mail to web. We tested three web-push strategies in a German probability-based mixed-mode panel by randomly assigning 1,895 panelists of the mail mode to one of three conditions: (1) the web option was offered to panelists concurrently with the paper questionnaire including a promised €10 incentive for completing the survey on the web, (2) the web option was presented sequentially two weeks before sending the paper questionnaire and respondents were also promised an incentive of €10, or (3) same sequential web-first approach as for condition 2, but with a prepaid €10 incentive instead of a promised incentive. The study found that a sequential presentation of the web option significantly increases the web response in a single survey but may not motivate more panelists to switch to the web mode permanently. Contrary to our expectation, offering prepaid incentives neither improves the web response nor the proportion of mode switchers. Overall, all three web-push strategies show the potential to effectively reduce survey costs without causing differences in panel attrition after five consecutive waves. Condition 2, the sequential web-first design combined with a promised incentive was most effective in pushing respondents to switch to the web mode and in reducing costs.
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基于概率的混合模式面板中邮件回答者转换为互联网回答者三种策略的实验比较
近年来,在横断面混合模式调查中制定了网络推送策略,以提高响应率并降低数据收集成本。然而,很少在小组调查的背景下研究将受访者推向更具成本效益的网络模式。本研究评估了网络推送干预如何影响小组成员将调查模式从邮件切换到网络的意愿。我们在德国一个基于概率的混合模式小组中测试了三种网络推送策略,方法是将1895名邮件模式的小组成员随机分配到三个条件之一:(1)网络选项与纸质问卷同时提供给小组成员,其中包括承诺在网络上完成调查的10欧元奖励,(2)在发送纸质问卷前两周,依次提供网络选项,并向受访者承诺10欧元的激励,或(3)与条件2相同的顺序网络优先方法,但使用预付的10欧元激励,而不是承诺的激励。研究发现,在一次调查中,连续呈现网络选项会显著提高网络反应,但可能不会激励更多的小组成员永久切换到网络模式。与我们的预期相反,提供预付费激励既不能提高网络响应,也不能提高模式转换者的比例。总的来说,这三种网络推送策略都显示出在连续五波之后有效降低调查成本而不会造成小组流失差异的潜力。条件2,顺序的网络优先设计与承诺的激励相结合,在促使受访者转向网络模式和降低成本方面最有效。
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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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