<abstract xmlns="http://www.w3.org/1999/xhtml">

<p>Survey respondents can complete web surveys using different Internet-enabled devices (PCs versus mobile phones and tablets) and using different software (web browser versus a mobile software application, “app”). Previous research has found that completing questionnaires via a browser on mobile devices can lead to higher breakoff rates and reduced measurement quality compared to using PCs, especially where questionnaires have not been adapted for mobile administration. A key explanation is that using a mobile browser is more burdensome and less enjoyable for respondents. There are reasons to assume apps should perform better than browsers, but so far, there have been few attempts to assess this empirically. In this study, we investigate variation in experienced burden across device and software in wave 1 of a three-wave panel study, comparing an app with a browser-based survey, in which sample members were encouraged to use a mobile device. We also assess device/software effects on participation at wave 2. We find that compared to mobile browser respondents, app respondents were less likely to drop out of the study after the first wave and the effect of the device used was mediated by subjective burden experienced during wave 1.</p>
</abstract>

Survey respondents can complete web surveys using different Internet-enabled devices (PCs versus mobile phones and tablets) and using different software (web browser versus a mobile software application, “app”). Previous research has found that completing questionnaires via a browser on mobile devices can lead to higher breakoff rates and reduced measurement quality compared to using PCs, especially where questionnaires have not been adapted for mobile administration. A key explanation is that using a mobile browser is more burdensome and less enjoyable for respondents. There are reasons to assume apps should perform better than browsers, but so far, there have been few attempts to assess this empirically. In this study, we investigate variation in experienced burden across device and software in wave 1 of a three-wave panel study, comparing an app with a browser-based survey, in which sample members were encouraged to use a mobile device. We also assess device/software effects on participation at wave 2. We find that compared to mobile browser respondents, app respondents were less likely to drop out of the study after the first wave and the effect of the device used was mediated by subjective burden experienced during wave 1.

Response Burden and Dropout in a Probability-Based Online Panel Study – A Comparison between an App and Browser-Based Design

Faculty of Social and Political Sciences University of Lausanne

Journal of Official Statistics

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

Survey respondents can complete web surveys using different Internet-enabled devices (PCs versus mobile phones and tablets) and using different software (web...

Response Burden and Dropout in a Probability-Based Online Panel Study – A Comparison between an App and Browser-Based Design

Online veröffentlicht: 03. Dez. 2022

Seitenbereich: 987 - 1017

Eingereicht: 01. Dez. 2020

Akzeptiert: 01. März 2022

DOI: https://doi.org/10.2478/jos-2022-0043

Schlüsselwörter
App-based survey, attrition, mobile survey, usability, user satisfaction

© 2022 Caroline Roberts et al., published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

Response Burden and Dropout in a Probability-Based Online Panel Study – A Comparison between an App and Browser-Based Design

Online veröffentlicht: 03. Dez. 2022

Seitenbereich: 987 - 1017

Eingereicht: 01. Dez. 2020

Akzeptiert: 01. März 2022

DOI: https://doi.org/10.2478/jos-2022-0043

SchlüsselwörterApp-based survey, attrition, mobile survey, usability, user satisfaction

© 2022 Caroline Roberts et al., published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

Schlüsselwörter
App-based survey, attrition, mobile survey, usability, user satisfaction