Person-Related Selection Bias in Mobile Sensing Research: Robust Findings From Two Panel Studies.
In psychology, mobile sensing is increasingly used to record behavior in real-life situations. However, little is known about the selectivity of samples participating in these new data collection approaches and thus about potential risks to the validity of research findings. We therefore investigate...
| Publicado en: | Journal of Personality & Social Psychology Vol. 130; no. 3; pp. 597 - 626 |
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| Autores principales: | , , , , , , , |
| Formato: | Artículo |
| Publicado: |
American Psychological Association
Mar2026
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| Materias: | |
| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ssf&AN=191989989&site=ehost-live header: @attributes: shortDbName: ssf uiTerm: 191989989 longDbName: Social Sciences Full Text (H.W. Wilson) uiTag: AN controlInfo: bkinfo: jinfo: jid: 00223514 JSS jtl: Journal of Personality & Social Psychology issn: 00223514 maglogo: N pubinfo: dt: Mar2026 vid: 130 iid: 3 pid: 34 pub: American Psychological Association artinfo: ui: 191989989 10.1037/pspp0000585 ppf: 597 ppct: 29 formats: tig: atl: Person-Related Selection Bias in Mobile Sensing Research: Robust Findings From Two Panel Studies. aug: au: Schoedel, Ramona Reiter, Thomas Krämer, Michael D. Roos, Yannick Bühner, Markus Richter, David Mehl, Matthias R. Wrzus, Cornelia affil: Differential Psychology and Psychological Assessment, Charlotte Fresenius University Department of Psychology, Ludwig-Maximilians-Universität München Department of Psychology, University of Zurich Psychological Institute, Heidelberg University Department of Education and Psychology, Freie Universität Berlin SHARE BERLIN Institute GmbH, Berlin, Germany Department of Psychology, University of Arizona Network Aging Research, Heidelberg University su: Android (Operating system) Sociodemographic factors Personality Selection bias (Statistics) Nonresponse (Statistics) Panel analysis Mobile operating systems Wearable technology Acquisition of data sug: subj: Sociodemographic factors Personality Selection bias (Statistics) Nonresponse (Statistics) Panel analysis Mobile operating systems Wearable technology Acquisition of data Android (Operating system) keyword: adherence Big Five personality traits mobile sensing selection bias smartphone sensing adherence Big Five personality traits mobile sensing selection bias smartphone sensing ab: In psychology, mobile sensing is increasingly used to record behavior in real-life situations. However, little is known about the selectivity of samples participating in these new data collection approaches and thus about potential risks to the validity of research findings. We therefore investigated two potential sources of selection bias in smartphone-based data collections. Specifically, we examined whether smartphone system ownership (Android vs. iOS, i.e., platform-related differences) and willingness to participate (nonparticipation vs. intention to participate vs. actual participation, i.e., nonresponse error) are associated with sociodemographic, socioeconomic, and personality characteristics. Using two large-scale panel studies, we found replicable patterns for platform-related differences (N = 1,218 and N = 5,123) and nonresponse error (N = 1,673 and N = 2,337): The ownership of Android devices (in comparison to iOS devices) was associated with lower levels of education, income, and extraversion. The willingness to participate in mobile sensing studies was found to be higher among younger age groups, males, those with higher levels of openness to experience, and those with lower levels of neuroticism. Furthermore, different person characteristics played different roles at different stages of the recruitment process. Taken together, the results show that some selection bias in mobile sensing studies exists and that the effects were small to moderate in magnitude as well as comparable to selection bias for other, more common data collection approaches, such as online surveys. pubtype: Academic Journal doctype: Article src: R language: English refInfo: copyright: @attributes: flag: N holdings: @attributes: islocal: N |
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