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Device effects on survey response quality: A comparison of smartphone, tablet and PC responses on a cross sectional probability sample
[journal article]
Abstract The increasing use of web surveys and different devices for survey completion calls for the
examination of device effects on survey response quality. Whereas most existing studies are
based on web panels, subgroups (e.g., students), or short questionnaires designed for device
experiments, which c... view more
The increasing use of web surveys and different devices for survey completion calls for the
examination of device effects on survey response quality. Whereas most existing studies are
based on web panels, subgroups (e.g., students), or short questionnaires designed for device
experiments, which compels participants to respond through specific devices, this study is based
on two large, nationally representative cross-sectional samples (ISSP 2018 and ISSP 2019) in
which the completion device was chosen by the respondent. Seven indicators of response quality
are applied, which allows comparison among survey participants answering the questionnaire on a
smartphone, tablet, or PC. The results are in line with previous findings: Respondents’ selfevaluated
engagement in survey completion does not differ across devices, and only small, nonsystematic
differences between devices on satisficing indicators, such as the tendency to agree
regardless of question content (acquiescence), non-substantive answers, selection of mid-point
response options and primacy effects, and straightlining are identified. Controlling the associations
between response device and response quality indicators for self-selection biases did not change
the overall result.... view less
Keywords
online survey; cross-sectional study; response behavior; cell phone; computer; data quality; ISSP; questionnaire
Classification
Methods and Techniques of Data Collection and Data Analysis, Statistical Methods, Computer Methods
Document language
English
Publication Year
2020
Page/Pages
p. 1-14
Journal
Survey Methods: Insights from the Field (2020)
Issue topic
Advancements in Online and Mobile Survey Methods
ISSN
2296-4754
Status
Published Version; peer reviewed