Coverage Error in Data Collection Combining Mobile Surveys With Passive Measurement Using Apps : Data From a German National Survey

Faculty/Professorship: Survey Methodology  
Author(s): Keusch, Florian; Bähr, Sebastian; Haas, Georg-Christoph; Kreuter, Frauke; Trappmann, Mark
Publisher Information: Bamberg : Otto-Friedrich-Universität
Year of publication: 2022
Pages: 38
Source/Other editions: Sociological Methods & Research, (2020) , 38 S. - ISSN: 1552-8294, 0049-1241
is version of: 10.1177/0049124120914924
Year of first publication: 2022
Language(s): English
Licence: Creative Commons - CC BY - Attribution 4.0 International 
URN: urn:nbn:de:bvb:473-irb-538513
Researchers are combining self-reports from mobile surveys with passive data collection using sensors and apps on smartphones increasingly more often. While smartphones are commonly used in some groups of individuals, smartphone penetration is significantly lower in other groups. In addition, different operating systems (OSs) limit how mobile data can be collected passively. These limitations cause concern about coverage error in studies targeting the general population. Based on data from the Panel Study Labour Market and Social Security (PASS), an annual probability-based mixed-mode survey on the labor market and poverty in Germany, we find that smartphone ownership and ownership of smartphones with specific OSs are correlated with a number of sociodemographic and substantive variables. The use of weighting techniques based on sociodemographic information available for both owners and nonowners reduces these differences but does not eliminate them.
GND Keywords: Deutschland; Empirische Sozialforschung; Erhebungsverfahren; Smartphone; Betriebssystem; Coverage-Fehler
Keywords: smartphones, operating systems, coverage error, mobile web surveys, passive mobile data collection
DDC Classification: 300 Social sciences, sociology & anthropology  
RVK Classification: MR 2400   
Type: Article
Release Date: 13. May 2022

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