Máté, Ákos, Rakovics, Zsófia ORCID: https://orcid.org/0000-0002-9903-9348, Rudas, Szilvia, Wallis, Levente, Ságvári, Bence ORCID: https://orcid.org/0000-0001-5862-4789, Huszár, Ákos and Koltai, Júlia Anna ORCID: https://orcid.org/0000-0002-8676-7303 (2023) Willingness of Participation in an Application-Based Digital Data Collection among Different Social Groups and Smartphone User Clusters. Sensors, 23 (9). DOI https://doi.org/10.3390/s23094571
|
PDF
- Requires a PDF viewer such as GSview, Xpdf or Adobe Acrobat Reader
1MB |
Official URL: https://doi.org/10.3390/s23094571
The data collection was supported by the National Research, Development and Innovation Office RRF-2.3.1-21-2022-00004 and Hungarian Academy of Sciences Lendület program: LP2022-10/2022
Abstract
The main question of this paper is what factors influence willingness to participate in a smartphone-application-based data collection where participants both fill out a questionnaire and let the app collect data on their smartphone usage. Passive digital data collection is becoming more common, but it is still a new form of data collection. Due to the novelty factor, it is important to investigate how willingness to participate in such studies is influenced by both socio-economic variables and smartphone usage behaviour. We estimate multilevel models based on a survey experiment with vignettes for different characteristics of data collection (e.g., different incentives, duration of the study). Our results show that of the socio-demographic variables, age has the largest influence, with younger age groups having a higher willingness to participate than older ones. Smartphone use also has an impact on participation. Advanced users are more likely to participate, while users who only use the basic functions of their device are less likely to participate than those who use it mainly for social media. Finally, the explorative analysis with interaction terms between levels has shown that the circumstances of data collection matter differently for different social groups. These findings provide important clues on how to fine-tune circumstances to improve participation rates in this novel passive digital data collection.
Item Type: | Article |
---|---|
Series Number / Identification Number: | 4571 |
Uncontrolled Keywords: | data collection methods, survey experiment, smartphone data, digital trace data, willingness of participation |
Divisions: | Institute of Social and Political Sciences |
Subjects: | Knowledge economy, innovation Media and communication |
Funders: | Hungarian Academy of Sciences Lendület program, National Research, Development and Innovation Office |
Projects: | RRF-2.3.1-21-2022-00004, LP2022-10/2022 |
DOI: | https://doi.org/10.3390/s23094571 |
ID Code: | 8248 |
Deposited By: | MTMT SWORD |
Deposited On: | 13 Jun 2023 07:46 |
Last Modified: | 13 Jun 2023 07:46 |
Repository Staff Only: item control page