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Consent to Data Linkage for Different Data Domains – The Role of Question Order, Question Wording, and Incentives

Authors :
Christoph Beuthner
Bernd Weiß
Henning Silber
Florian Keusch
Jette Schröder
Publication Year :
2022
Publisher :
Center for Open Science, 2022.

Abstract

As our modern world has become increasingly digitalized, various types of data from different data domains are available that can enrich survey data. To link survey data to other sources, consent from the survey respondents is required. This article compares consent to data linkage requests for seven data domains: administrative data, smartphone usage data, bank data, biomarkers, Facebook data, health insurance data, and sensor data. We experimentally explore three factors of interest to survey designers seeking to maximize consent rates: consent question order, consent question wording, and incentives. The results of the study using a German online sample (n = 3,374) show that survey respondents have a relatively high probability of consent to share smartphone usage data, Facebook data, and biomarkers, while they are least likely to share their bank data in a survey. Of the three experimental factors, only the consent question order affected consent rates significantly. Additionally, the study investigated the interactions between the three experimental manipulations and the seven data domains, of which only the interaction between the data domains and the consent question order showed a consistent significant effect.

Details

Database :
OpenAIRE
Accession number :
edsair.doi.dedup.....52e16f3e6995b499de5299e3d9f2d612
Full Text :
https://doi.org/10.31235/osf.io/qh93g