Non-Participation in Smartphone Data Collection Using Research Apps

Keusch, Florian; Bähr, Sebastian; Haas, Georg-Christoph; Kreuter, Frauke; Trappmann, Mark; Eckman, Stephanie

doi:10.1111/rssa.12827

Cited by 9 publications

(5 citation statements)

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“…Non-response bias, which is defined as differences between responders and those who choose not to participate, makes it difficult to effectively represent non-participants' opinions. To retain the validity of their studies, researchers dealing with the complexity of non-participation must actively address non-response bias (Keusch et al, 2022). To examine non-response bias, many methods are often used, such as analysing identified characteristics, examining non-responder subsamples, wave analysis, and linear extrapolation (Al-Sabi et al, 2024).…”

Section: Checking Missing Value and Dealing With Non-response Biasmentioning

confidence: 99%

The significance of green purchase behaviour: mediating and moderating role of waste management and eco-regulation

Mankgele

2024

IJRBS

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This study examines the significance of green purchase behaviour in small and medium-sized enterprises (SMEs) and explores the mediating and moderating roles of waste management and eco-regulation in this context. The theoretical frameworks of resource-based view was utilized to conceptualize the relationships and dynamics between green purchase behaviour, waste management, eco-regulations, and sustainable performance in SMEs. Insights from these theoretical perspectives help in understanding how internal resources, capabilities, external pressures, and institutional factors interact to drive sustainability practices and business outcomes. Using a cross-sectional design, a questionnaire survey was administered to 225 SME owners. Using the Structural Equation Modelling (SEM) technique of Partial Least Squares (PLS), this study empirically analyses the relationships between green purchase behaviour, waste management practices, eco-regulations, and sustainable performance in SMEs. The results confirmed that green purchase behaviour (GPB) positively impacts waste management (WM). Furthermore, WM positively impacts financial performance (FP), social performance (SP) and environmental performance (EP). The results validate the mediating role of WM. The moderating results revealed that eco-regulation (ER) does play a moderating role in proposed relationships. As SMEs worldwide grapple with the imperative to adopt sustainable business practices, this study provides valuable insights and a roadmap for SMEs seeking to navigate the complex landscape of environmental responsibility and social accountability. The findings provide practical guidance for SMEs striving to strike a balance between economic success and environmental stewardship, fostering a holistic approach to sustainability of SMEs.

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Section: Checking Missing Value and Dealing With Non-response Biasmentioning

confidence: 99%

The significance of green purchase behaviour: mediating and moderating role of waste management and eco-regulation

Mankgele

2024

IJRBS

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“…A major limitation of existing studies, however, is that participation rates are rather low. The IAB-SMART study, for example, which recruited participants from a household panel survey of the residential population aged 15+ in Germany to measure the effects of long-term unemployment on social integration and social activity using a smartphone app, achieved a participation rate of only 14.5 percent ( Keusch et al 2022 ). Other smartphone-based studies in the general population reported participation rates in a similar range (e.g., Scherpenzeel 2017 ; Jäckle et al 2019 ; McCool et al 2021 ; Struminskaya et al 2021 ).…”

Section: Smartphone-based Data Collectionmentioning

confidence: 99%

Increasing the Acceptance of Smartphone-Based Data Collection

Wenz

Keusch

2023

Public Opinion Quarterly

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To study human behavior, social scientists are increasingly collecting data from mobile apps and sensors embedded in smartphones. A major challenge of studies implemented on general population samples, however, is that participation rates are rather low. While previous research has started to investigate the factors affecting individuals’ decision to participate in such studies, less is known about features of the study design which are under the researcher’s control and can increase the acceptance of smartphone-based data collection methods. Guided by the Technology Acceptance Model, we varied study characteristics in a vignette experiment to examine their effect on individuals’ willingness to download a research app on their smartphone. Data were collected from 1,876 members of the NORC AmeriSpeak Panel, a probability-based panel of the general population aged 18+ in the United States. Respondents were randomly assigned to eight vignettes and, after each vignette, were asked to rate their willingness to participate in the described hypothetical study. The results show that individuals are more willing to participate in smartphone-based studies where they have some control over the data collection process, by having the option either to temporarily switch off the data collection or to review the data before submission. Furthermore, they are more willing to participate in research to which they are invited via postal letter rather than receiving a postal letter plus a phone call from an interviewer who walks them through the app installation. Finally, unconditional incentives increase their willingness to engage with smartphone-based data collection over conditional incentives.

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“…A number of qualitative studies investigated willingness to share commercial data, specifically loyalty cards for health research, echoing the principal evidence shared across disciplines, as discussed earlier [15,18,19]. In contrast, for mobile and biosensor data sharing, there is a growing body of literature on the importance of understanding nonparticipation and willingness to share mobile phone apps and biosensor data [20][21][22][23][24]. A study that took place in England before the GDPR highlighted that, in the context of mobile data sharing, user behavior is also associated with willingness to share passive or actively collected mobile data [21].…”

Section: Introductionmentioning

confidence: 99%

“…Further experimental studies have highlighted the behavior of sharing mobile data, which requires capabilities from the users to fulfill the task and the characteristics of the individuals, framing of the request, emphasis on control over data, and assurances of privacy and confidentiality [ 22 ]. The implications of the willingness to share smartphone and sensor data with researchers are further understood in studies where the response rate for data sharing is less than 15%, and the representativeness of the population that shares the data is less than optimal [ 23 ]. This highlights the importance of understanding the characteristics of the population who are willing to share commercial data sets before data collection so that strategies can be developed to improve response rates and minimize bias.…”

Section: Introductionmentioning

confidence: 99%

Understanding Public Attitudes and Willingness to Share Commercial Data for Health Research: Survey Study in the United Kingdom

Hirst¹,

Stoffel²,

Brewer³

et al. 2023

JMIR Public Health Surveill

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Background Health research using commercial data is increasing. The evidence on public acceptability and sociodemographic characteristics of individuals willing to share commercial data for health research is scarce. Objective This survey study investigates the willingness to share commercial data for health research in the United Kingdom with 3 different organizations (government, private, and academic institutions), 5 different data types (internet, shopping, wearable devices, smartphones, and social media), and 10 different invitation methods to recruit participants for research studies with a focus on sociodemographic characteristics and psychological predictors. Methods We conducted a web-based survey using quota sampling based on age distribution in the United Kingdom in July 2020 (N=1534). Chi-squared tests tested differences by sociodemographic characteristics, and adjusted ordered logistic regressions tested associations with trust, perceived importance of privacy, worry about data misuse and perceived risks, and perceived benefits of data sharing. The results are shown as percentages, adjusted odds ratios, and 95% CIs. Results Overall, 61.1% (937/1534) of participants were willing to share their data with the government and 61% (936/1534) of participants were willing to share their data with academic research institutions compared with 43.1% (661/1534) who were willing to share their data with private organizations. The willingness to share varied between specific types of data—51.8% (794/1534) for loyalty cards, 35.2% (540/1534) for internet search history, 32% (491/1534) for smartphone data, 31.8% (488/1534) for wearable device data, and 30.4% (467/1534) for social media data. Increasing age was consistently and negatively associated with all the outcomes. Trust was positively associated with willingness to share commercial data, whereas worry about data misuse and the perceived importance of privacy were negatively associated with willingness to share commercial data. The perceived risk of sharing data was positively associated with willingness to share when the participants considered all the specific data types but not with the organizations. The participants favored postal research invitations over digital research invitations. Conclusions This UK-based survey study shows that willingness to share commercial data for health research varies; however, researchers should focus on effectively communicating their data practices to minimize concerns about data misuse and improve public trust in data science. The results of this study can be further used as a guide to consider methods to improve recruitment strategies in health-related research and to improve response rates and participant retention.

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Non-Participation in Smartphone Data Collection Using Research Apps

Cited by 9 publications

References 70 publications

The significance of green purchase behaviour: mediating and moderating role of waste management and eco-regulation

The significance of green purchase behaviour: mediating and moderating role of waste management and eco-regulation

Increasing the Acceptance of Smartphone-Based Data Collection

Understanding Public Attitudes and Willingness to Share Commercial Data for Health Research: Survey Study in the United Kingdom

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