Willingness to Participate in Passive Mobile Data Collection.

The rising penetration of smartphones now gives researchers the chance to collect data from smartphone users through passive mobile data collection via apps. Examples of passively collected data include geolocation, physical movements, online behavior and browser history, and app usage. However, to passively collect data from smartphones, participants need to agree to download a research app to their smartphone. This leads to concerns about nonconsent and nonparticipation. In the current study, we assess the circumstances under which smartphone users are willing to participate in passive mobile data collection. We surveyed 1,947 members of a German nonprobability online panel who own a smartphone using vignettes that described hypothetical studies where data are automatically collected by a research app on a participant's smartphone. The vignettes varied the levels of several dimensions of the hypothetical study, and respondents were asked to rate their willingness to participate in such a study. Willingness to participate in passive mobile data collection is strongly influenced by the incentive promised for study participation but also by other study characteristics (sponsor, duration of data collection period, option to switch off the app) as well as respondent characteristics (privacy and security concerns, smartphone experience).

The Michigan Peer-to-Peer Depression Awareness Program: School-Based Prevention to Address Depression Among Teens.

OBJECTIVE: The Peer-to-Peer Depression Awareness Program (P2P) is a school-based program that aims to decrease mental illness and promote well-being among students by empowering high school students as both learners and educators. Specific goals include improving the school climate around mental health, directing students to resources, and encouraging help-seeking behavior. METHODS: In the 2015-2016 academic year, 121 students across 10 high schools organized into teams and were trained to develop and implement peer-to-peer depression awareness campaigns. Outcomes were assessed via pre- and posttest questionnaires. RESULTS: A total of 878 students completed questionnaires. Outcomes demonstrated improved knowledge and attitudes toward depression, increased confidence in identifying and referring peers with depression, improved help-seeking intentions, and reduced stigma. CONCLUSIONS: The P2P program increased depression literacy through the use of youth-designed and youth-implemented depression awareness and outreach activities, which may ultimately result in earlier detection of depression and in fewer depression sequelae.

Precision and Disclosure in Text and Voice Interviews on Smartphones.

As people increasingly communicate via asynchronous non-spoken modes on mobile devices, particularly text messaging (e.g., SMS), longstanding assumptions and practices of social measurement via telephone survey interviewing are being challenged. In the study reported here, 634 people who had agreed to participate in an interview on their iPhone were randomly assigned to answer 32 questions from US social surveys via text messaging or speech, administered either by a human interviewer or by an automated interviewing system. 10 interviewers from the University of Michigan Survey Research Center administered voice and text interviews; automated systems launched parallel text and voice interviews at the same time as the human interviews were launched. The key question was how the interview mode affected the quality of the response data, in particular the precision of numerical answers (how many were not rounded), variation in answers to multiple questions with the same response scale (differentiation), and disclosure of socially undesirable information. Texting led to higher quality data-fewer rounded numerical answers, more differentiated answers to a battery of questions, and more disclosure of sensitive information-than voice interviews, both with human and automated interviewers. Text respondents also reported a strong preference for future interviews by text. The findings suggest that people interviewed on mobile devices at a time and place that is convenient for them, even when they are multitasking, can give more trustworthy and accurate answers than those in more traditional spoken interviews. The findings also suggest that answers from text interviews, when aggregated across a sample, can tell a different story about a population than answers from voice interviews, potentially altering the policy implications from a survey.