Sharing Data Collected with Smartphone Sensors: Willingness, Participation, and Nonparticipation Bias.

ABSTRACT: Smartphone sensors allow measurement of phenomena that are difficult or impossible to capture via self-report (e.g., geographical movement, physical activity). Sensors can reduce respondent burden by eliminating survey questions and improve measurement accuracy by replacing/augmenting self-reports. However, if respondents who are not willing to collect sensor data differ on critical attributes from those who are, the results can be biased. Research on the mechanisms of willingness to collect sensor data mostly comes from (nonprobability) online panels and is hypothetical (i.e., asks participants about the likelihood of participation in a sensor-based study). In a cross-sectional general population randomized experiment, we investigate how features of the request and respondent characterist

SUBMITTER: Struminskaya B 

PROVIDER: S-EPMC8483283 | biostudies-literature | 2021

REPOSITORIES: biostudies-literature