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https://doi.org/10.13094/SMIF-2020-00020

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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]

Clement, Sanne Lund
Severin-Nielsen, Majbritt Kappelgaard
Shamshiri-Petersen, Ditte

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

Licence
Creative Commons - Attribution 4.0


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Home  |  Legal notices  |  Operational concept  |  Privacy policy
© 2007 - 2025 Social Science Open Access Repository (SSOAR).
Based on DSpace, Copyright (c) 2002-2022, DuraSpace. All rights reserved.