Can we predict device use? An investigation into mobile device use in surveys

In this study, we investigate whether mobile device use in surveys can be predicted. We aim to identify possible motives for device use and build a model by drawing on theory from technology acceptance research and survey research. We then test this model with a Structural Equation Modeling approach...

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Bibliographic Details
Published in:International journal of social research methodology 2019-09, Vol.22 (5), p.517-531
Main Authors: Haan, Marieke, Lugtig, Peter, Toepoel, Vera
Format: Article
Language:English
Subjects:
Age Differences
Citizenship
Computer Assisted Testing
Computers
Educational Attainment
Gender Differences
Handheld Devices
Individual Characteristics
Intention
mixed device
Mobile device use
Ownership
panel survey
Polls & surveys
Research Methodology
Smartphones
Socioeconomic Status
Structural equation modeling
Surveys
Technology
technology acceptance
Technology Integration
Telecommunications
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Summary:In this study, we investigate whether mobile device use in surveys can be predicted. We aim to identify possible motives for device use and build a model by drawing on theory from technology acceptance research and survey research. We then test this model with a Structural Equation Modeling approach using data of seven waves of the GESIS panel. We test whether our theoretical model fits the data by focusing on measures of fit, and by studying the standardized effects of the model. Results reveal that intention to use a particular device can predict actual use quite well. Ease of smartphone use is the most meaningful variable: if people use a smartphone for specific tasks, their intention to use a smartphone for survey completion is also more likely. In conclusion, investing in ease of use of mobile survey completion could encourage respondents to use mobile devices. This can foremost be established by building well-designed surveys for mobile devices.
ISSN:1364-5579
1464-5300
DOI:10.1080/13645579.2019.1593340