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Linking Surveys and Digital Trace Data: Insights From two Studies on Determinants of Data Sharing Behaviour
- Source :
- Journal of the Royal Statistical Society, Series A (Statistics in Society), Suppl. 2, S387-S407
- Publication Year :
- 2022
- Publisher :
- Oxford University Press (OUP), 2022.
-
Abstract
- Combining surveys and digital trace data can enhance the analytic potential of both data types. We present two studies that examine factors influencing data sharing behaviour of survey respondents for different types of digital trace data: Facebook, Twitter, Spotify and health app data. Across those data types, we compared the relative impact of four factors on data sharing: data sharing method, respondent characteristics, sample composition and incentives. The results show that data sharing rates differ substantially across data types. Two particularly important factors predicting data sharing behaviour are the incentive size and data sharing method, which are both directly related to task difficulty and respondent burden. In sum, the paper reveals systematic variation in the willingness to share additional data which need to be considered in research designs linking surveys and digital traces.
- Subjects :
- Statistics and Probability
Economics and Econometrics
Facebook
Computer science
social media
Twitter
Digitale Medien
Umfrageforschung
Data type
Task (project management)
Sample composition
Soziale Medien
survey research
consent
data donation
data linkage
data sharing rates
incentives
social network sites
survey
Datengewinnung
Social sciences, sociology, anthropology
digital media
TRACE (psycholinguistics)
Erhebungstechniken und Analysetechniken der Sozialwissenschaften
Sozialwissenschaften, Soziologie
data exchange
Befragung
Daten
Data science
data capture
Data sharing
Methods and Techniques of Data Collection and Data Analysis, Statistical Methods, Computer Methods
Incentive
data
Datenaustausch
Respondent
bepress|Social and Behavioral Sciences
ddc:300
SocArXiv|Social and Behavioral Sciences
Statistics, Probability and Uncertainty
Social Sciences (miscellaneous)
Subjects
Details
- ISSN :
- 1467985X and 09641998
- Volume :
- 185
- Database :
- OpenAIRE
- Journal :
- Journal of the Royal Statistical Society Series A: Statistics in Society
- Accession number :
- edsair.doi.dedup.....ffcd0a99af6d90c8b58cc9f7102283e8