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

Author

Listed:
  • Florian Keusch
  • Sebastian Bähr
  • Georg-Christoph Haas
  • Frauke Kreuter
  • Mark Trappmann

Abstract

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.

Suggested Citation

  • Florian Keusch & Sebastian Bähr & Georg-Christoph Haas & Frauke Kreuter & Mark Trappmann, 2023. "Coverage Error in Data Collection Combining Mobile Surveys With Passive Measurement Using Apps: Data From a German National Survey," Sociological Methods & Research, , vol. 52(2), pages 841-878, May.
  • Handle: RePEc:sae:somere:v:52:y:2023:i:2:p:841-878
    DOI: 10.1177/0049124120914924
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    References listed on IDEAS

    as
    1. Jesske, Birgit & Schulz, Sabine, 2018. "Methodenbericht Panel Arbeitsmarkt und Soziale Sicherung PASS : 11. Erhebungswelle - 2017 (Haupterhebung)," FDZ Methodenreport 201813_de, Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg [Institute for Employment Research, Nuremberg, Germany].
    2. repec:iab:iabfme:201813(de is not listed on IDEAS
    3. repec:iab:iabfda:201806(en is not listed on IDEAS
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