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

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

Content Provider	Semantic Scholar
Author	Haan, Marieke Lugtig, Peter Toepoel, Vera
Copyright Year	2019
Abstract	ABSTRACT 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.
Starting Page	517
Ending Page	531
Page Count	15
File Format	PDF HTM / HTML
DOI	10.1080/13645579.2019.1593340
Volume Number	22
Alternate Webpage(s)	https://www.rug.nl/research/portal/files/90825032/Can_we_predict_device_use_An_investigation_into_mobile_device_use_in_surveys.pdf
Language	English
Access Restriction	Open
Content Type	Text
Resource Type	Article

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