Willingness to Participate in Passive Mobile Data Collection

Author:

Keusch Florian12,Struminskaya Bella3,Antoun Christopher4,Couper Mick P56,Kreuter Frauke7

Affiliation:

1. School of Social Sciences at the University of Mannheim, Mannheim, Germany

2. Joint Program in Survey Methodology at the University of Maryland, College Park, MD, USA

3. Department of Methodology and Statistics at Utrecht University, Utrecht, the Netherlands

4. College of Information Studies and the Joint Program in Survey Methodology at the University of Maryland, College Park, MD, USA

5. Survey Research Center, Institute for Social Research, University of Michigan, Ann Arbor, MI, USA

6. Joint Program in Survey Methodology, University of Maryland, College Park, MD, USA

7. University of Mannheim, Mannheim, Germany, and head of the Statistical Methods Research Department at IAB, Nuremberg, Germany

Abstract

Abstract The rising penetration of smartphones now gives researchers the chance to collect data from smartphone users through passive mobile data collection via apps. Examples of passively collected data include geolocation, physical movements, online behavior and browser history, and app usage. However, to passively collect data from smartphones, participants need to agree to download a research app to their smartphone. This leads to concerns about nonconsent and nonparticipation. In the current study, we assess the circumstances under which smartphone users are willing to participate in passive mobile data collection. We surveyed 1,947 members of a German nonprobability online panel who own a smartphone using vignettes that described hypothetical studies where data are automatically collected by a research app on a participant’s smartphone. The vignettes varied the levels of several dimensions of the hypothetical study, and respondents were asked to rate their willingness to participate in such a study. Willingness to participate in passive mobile data collection is strongly influenced by the incentive promised for study participation but also by other study characteristics (sponsor, duration of data collection period, option to switch off the app) as well as respondent characteristics (privacy and security concerns, smartphone experience).

Publisher

Oxford University Press (OUP)

Subject

History and Philosophy of Science,General Social Sciences,Sociology and Political Science,History,Communication

Reference41 articles.

1. Factorial Survey Experiments

2. “Fitting Linear Mixed-Effects Models Using lme4.”;Bates;Journal of Statistical Software,2015

3. “Unit (Non)Response in Web-based Access Panel Surveys: An Extended Planned-Behavior Approach.”;Bosnjak;Psychology & Marketing,2005

4. “Respondent Burden.”;Bradburn;Proceedings of the American Statistical Association, Survey Research Methods Section,1978

5. “Individual Differences in Motivation to Participate in Online Panels: The Effect on Response Rate and Response Quality Perceptions.”;Brüggen;International Journal of Market Research,2011

Cited by 94 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3