Mixing Online Panel Data Collection with Innovative Methods

Scherpenzeel, Annette

doi:10.1007/978-3-658-15834-7_2

Cited by 30 publications

(35 citation statements)

References 7 publications

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“…The Understanding Society IP later asked participants to download an app to take pictures of receipts, of which 16.5% of their eligible panel members agreed and approximately 13% installed the app and took at least one picture (Jäckle, Burton, Couper, & Lessof, 2017). The Longitudinal Internet Studies for the Social Sciences (LISS) Mobile Mobility study in the Netherlands achieved a 19% participation rate among a random subsample of LISS panel members for a time use survey app that passively collected information about geolocation and movements of users (Scherpenzeel, 2017). Given these moderate consent rates, the added requests for data sharing can cause considerable concern.…”

Section: Participation In Smartphone Studiesmentioning

confidence: 99%

Collecting Survey and Smartphone Sensor Data With an App: Opportunities and Challenges Around Privacy and Informed Consent

Kreuter

Haas

Keusch

et al. 2018

Social Science Computer Review

119

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The new European General Data Protection Regulation (GDPR) imposes enhanced requirements on digital data collection. This article reports from a 2018 German nationwide population-based probability app study in which participants were asked through a GDPR compliant consent process to share a series of digital trace data, including geolocation, accelerometer data, phone and text messaging logs, app usage, and access to their address books. With about 4,300 invitees and about 650 participants, we demonstrate (1) people were just as willing to share such extensive digital trace data as they were in studies with far more limited requests; (2) despite being provided more decision-related information, participants hardly differentiated between the different data requests made; and (3) once participants gave consent, they did not tend to revoke it. We also show (4) evidence for a widely-held belief that explanations regarding data collection and data usage are often not read carefully, at least not within the app itself, indicating the need for research and user experience improvement to adequately inform and protect participants. We close with suggestions to the field for creating a seal of approval from professional organizations to help the research community promote the safe use of data.

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Section: Participation In Smartphone Studiesmentioning

confidence: 99%

Collecting Survey and Smartphone Sensor Data With an App: Opportunities and Challenges Around Privacy and Informed Consent

Kreuter

Haas

Keusch

et al. 2018

Social Science Computer Review

119

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“…Research on hypothetical and actual willingness to perform passive data collection tasks includes studies in large-scale probability panels such as the Dutch LISS Panel (Sonck and Fernee 2013; Elevelt, Lugtig, and Toepoel 2017; Scherpenzeel 2017) and the Understanding Society Innovation Panel (IP) in the UK (Jäckle et al 2017; Wenz, Jäckle, and Couper 2017). In the LISS Panel, respondents were invited to complete app-based time-use diaries, share GPS location, and provide access to collect the number of calls, text messages, and Internet messages.…”

Section: Introductionmentioning

confidence: 99%

“…People who did not own a smartphone were provided with a smartphone. Thirty-seven percent of all invited panel members (smartphone owners and non-owners) indicated their willingness to participate, and 68 percent of the willing panelists actually participated (Scherpenzeel 2017). Based on these data, Elevelt and her colleagues (2017) reported that using an opt-out consent to collect the GPS location resulted in 74 percent of respondents sharing their GPS location.…”

Section: Introductionmentioning

confidence: 99%

“…Based on these data, Elevelt and her colleagues (2017) reported that using an opt-out consent to collect the GPS location resulted in 74 percent of respondents sharing their GPS location. In another LISS Panel study on mobility, respondents were asked to share their GPS location on their smartphone or a loaner phone; 37 percent of the invited panel members were willing to participate, and 81 percent of them eventually participated (Scherpenzeel 2017).…”

Section: Introductionmentioning

confidence: 99%

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Willingness to Participate in Passive Mobile Data Collection

Keusch

Struminskaya

Antoun

et al. 2019

Public Opinion Quarterly

117

164

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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).

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“…Similarly, the IAB-SMART app study that was carried out as part of the Labour Market and Social Security panel in Germany and captured a range of passively collected data through smartphone sensors achieved a participation rate of 16% (Kreuter et al, 2018). Two app studies conducted as part of the Longitudinal Internet Studies for the Social Sciences panel in the Netherlands, the Smartphone Time Use study collecting time use and experience sampling data and the Mobile Mobility study collecting data from the user's geolocation and movements, also achieved participation rates of only 19% and 22% (Scherpenzeel, 2017). For each of these app studies, sample members were recruited from existing longitudinal panels that had been interviewed previously and are likely to have developed some level of commitment to the study sponsor.…”

mentioning

confidence: 99%

The Effects of Personalized Feedback on Participation and Reporting in Mobile App Data Collection

Wenz

Jäckle

Burton

et al. 2020

Social Science Computer Review

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Offering participants in mobile app studies personalized feedback on the data they report seems an obvious thing to do: Participants might expect an app to provide feedback given their experiences with commercial apps, feedback might motivate more people to participate in the study, and participants might be more motivated to provide accurate data so that the feedback is more useful to them. However, personalized feedback might lead participants to change the behavior that is being measured with the app, is costly to implement, and also constrains other design decisions for the data collection. In this article, we report on an experimental study that tested the effects of providing personalized feedback in a 1-month mobile app–based spending study. Based on the app paradata and responses to a debrief survey, it seems that participants reacted positively to the feedback. The feedback did not have the potential negative effect of altering the spending participants reported in the app. However, the feedback also did not have the intended effect of increasing initial participation or ongoing adherence to the study protocol.

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Mixing Online Panel Data Collection with Innovative Methods

Cited by 30 publications

References 7 publications

Collecting Survey and Smartphone Sensor Data With an App: Opportunities and Challenges Around Privacy and Informed Consent

Collecting Survey and Smartphone Sensor Data With an App: Opportunities and Challenges Around Privacy and Informed Consent

Willingness to Participate in Passive Mobile Data Collection

The Effects of Personalized Feedback on Participation and Reporting in Mobile App Data Collection

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