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Is there a growing use of mobile devices in web surveys? Evidence from 128 web surveys in Germany
[journal article]
Abstract Recent advances in web survey methodology were motivated by the observation that respondents increasingly use mobile devices, such as smartphones and tablets, to participate in web surveys. Even though we do not doubt this general observation, we argue that the claim is lacking a solid empirical bas... view more
Recent advances in web survey methodology were motivated by the observation that respondents increasingly use mobile devices, such as smartphones and tablets, to participate in web surveys. Even though we do not doubt this general observation, we argue that the claim is lacking a solid empirical basis. Most research on increasing mobile device use in web surveys covers limited periods of time and/or analyzes data from only one study or panel. There is a surprising lack of comprehensive overviews on the magnitude of mobile device use in web surveys. In the present study, we explored this research gap by analyzing data from 128 web surveys collected in four different academic studies in Germany between 2012 and 2020. Overall, we found strong empirical evidence for an increase in smartphone use, a stagnation in tablet use, and a decrease in desktop PC use. There was no evidence that the increase in smartphone use will slow down any time soon. Thus, we recommend that survey researchers prepare for a device change in web surveys that may enable new applications in web surveys.... view less
Keywords
online survey; computer; Internet; survey; cell phone; Federal Republic of Germany; participation; visual display unit (vdu); survey research; data capture
Classification
Methods and Techniques of Data Collection and Data Analysis, Statistical Methods, Computer Methods
Free Keywords
Mobile devices; Online panels; Smartphone; Web surveys; Survey participation; GESIS Panel - Standard Edition, Waves 1-44 (ZA5665); German Internet Panel, Waves 1-50 (ZA5866, ZA5867, ZA5868, ZA5869, ZA5870, ZA5871, ZA5872, ZA5873, ZA5920, ZA5921, ZA5922, ZA5923, ZA5924, ZA5925, ZA5926, ZA5982, ZA5983, ZA5984, ZA5985, ZA5986, ZA6753, ZA6754, ZA6755, ZA6756, ZA6757, ZA6758, ZA6901, ZA6902, ZA6903, ZA6904, ZA6905, ZA6906, ZA6953, ZA6954, ZA6955, ZA6956, ZA6957, ZA6958, ZA7588, ZA7589, ZA7590, ZA7591, ZA7592, ZA7593, ZA7642, ZA7643, ZA7644, ZA7645, ZA7646, ZA7647); GLES Panel 2016-2021, Waves 10-13 (ZA6838); Langfrist-Online-Tracking / Long-term Online Tracking (GLES), Waves 17-47 (ZA5350, ZA5351, ZA5719, ZA5720, ZA5721, ZA5722, ZA5723, ZA5724, ZA5725, ZA5726, ZA5727, ZA5728, ZA5729, ZA5730, ZA5731, ZA5732, ZA5733, ZA5734, ZA6815, ZA6816, ZA6817, ZA6818, ZA6823, ZA6824, ZA6825, ZA6826, ZA6833, ZA6837, ZA6839, ZA6840, ZA6841)
Document language
English
Publication Year
2023
Page/Pages
p. 5333-5353
Journal
Quality & Quantity, 57 (2023) 6
DOI
https://doi.org/10.1007/s11135-022-01601-8
ISSN
1573-7845
Status
Published Version; peer reviewed