Willingness of Participation in an Application-Based Digital Data Collection among Different Social Groups and Smartphone User Clusters

Author:

Máté Ákos12,Rakovics Zsófia13ORCID,Rudas Szilvia1,Wallis Levente1,Ságvári Bence145ORCID,Huszár Ákos16,Koltai Júlia13ORCID

Affiliation:

1. MTA–TK Lendület “Momentum” Digital Social Science Research Group for Social Stratification, Centre for Social Sciences, Tóth Kálmán Utca 4, 1097 Budapest, Hungary

2. Institute for Political Science, Centre for Social Sciences, Tóth Kálmán Utca 4, 1097 Budapest, Hungary

3. Department of Social Research Methodology, Institute of Empirical Studies, Faculty of Social Sciences, Eötvös Loránd University, Pázmány Péter sétány 1/A, 1117 Budapest, Hungary

4. Computational Social Science-Research Center for Educational and Network Studies (CSS-RECENS), Centre for Social Sciences, Tóth Kálmán Utca 4, 1097 Budapest, Hungary

5. Department of Sociology, Institute of Social and Political Sciences, Corvinus University of Budapest, Fővám tér 8, 1093 Budapest, Hungary

6. Institute for Sociology, Centre for Social Sciences, Tóth Kálmán Utca 4, 1097 Budapest, Hungary

Abstract

The main question of this paper is what factors influence willingness to participate in a smartphone-application-based data collection where participants both fill out a questionnaire and let the app collect data on their smartphone usage. Passive digital data collection is becoming more common, but it is still a new form of data collection. Due to the novelty factor, it is important to investigate how willingness to participate in such studies is influenced by both socio-economic variables and smartphone usage behaviour. We estimate multilevel models based on a survey experiment with vignettes for different characteristics of data collection (e.g., different incentives, duration of the study). Our results show that of the socio-demographic variables, age has the largest influence, with younger age groups having a higher willingness to participate than older ones. Smartphone use also has an impact on participation. Advanced users are more likely to participate, while users who only use the basic functions of their device are less likely to participate than those who use it mainly for social media. Finally, the explorative analysis with interaction terms between levels has shown that the circumstances of data collection matter differently for different social groups. These findings provide important clues on how to fine-tune circumstances to improve participation rates in this novel passive digital data collection.

Funder

National Research, Development and Innovation Office

Hungarian Academy of Sciences

Publisher

MDPI AG

Subject

Electrical and Electronic Engineering,Biochemistry,Instrumentation,Atomic and Molecular Physics, and Optics,Analytical Chemistry

Reference50 articles.

1. New Developments in Survey Data Collection;Couper;Annu. Rev. Sociol.,2017

2. Szeitl, B. (2021). Revisiting the ESS R8 Sample a Year after—Lessons from a Re-Contact Survey to Test Patterns of Unit Non-Response in Hungary. Surv. Methods Insights Field, 1–17.

3. Selection Bias in Web Surveys: Selection Bias in Web Surveys;Bethlehem;Int. Stat. Rev.,2010

4. Scherpenzeel, A. (2017). Methodische Probleme von Mixed-Mode-Ansätzen in der Umfrageforschung, Springer VS Wiesbaden.

5. Ságvári, B., Gulyás, A., and Koltai, J. (2021). Attitudes towards Participation in a Passive Data Collection Experiment. Sensors, 21.

Cited by 1 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