Florian Keusch, Bella Struminskaya, Frauke Kreuter, Martin Weichbold
Combining Active and Passive Mobile Data Collection: A Survey of Concerns

Pp. 657-682 in: Craig Hill, Paul P. Biemer, Trent Buskirk, Lilli Japec, Antje Kirchner, Stas Kolenikov, Lars E. Lyberg (Eds.): Big Data Meets Survey Science: A Collection of Innovative Methods. 2021. Hoboken, NJ: Wiley

This chapter reviews existing literature on concern with and willingness to engage in active and passive forms of mobile data collection. It describes four online surveys conducted in two countries that all administered a similar set of questions on concern with five different forms of mobile data collection. The chapter uses these data to analyze differences in concern across the five tasks and study correlates of concern. It discusses the author's findings, their practical implications, and suggestions for further research. For all five tasks and in all four samples, the more activities a respondent reported to do on their smartphone, the lower the likelihood for high concern for all five tasks. With each additional smartphone activity reported, the likelihood of having high concerns decreases by about two percentage points.