An Experimental Comparison of Modular and Non-Modular Approaches for Administering Surveys via Smartphone Apps

Abstract Lengthy web surveys can be burdensome for respondents to complete in a single session. This study experimentally examines the effects of different app-based surveys, some of which use a modular design, on perceived burden, breakoffs, and indicators of satisficing behaviors. Participants (n = 664) were randomly assigned to one of four groups: (1) a browser-based web survey (control group), (2) an app-based survey, (3) a modular app dividing the survey into seven parts, and (4) a sequential modular app releasing modules at 48-hour intervals. Our findings indicate that administering surveys via apps can reduce the perceived burden of the survey task and improve response quality. Additionally, we find weak evidence that releasing modules individually over time can further enhance response quality, although this approach results in increased breakoffs between modules. The implications of these findings for the use of research apps and modular surveys are discussed.

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Publication Details

Journal
Journal of Survey Statistics and Methodology
Published
2025-05-21
DOI
https://doi.org/10.1093/jssam/smaf008
Primary Topic
Survey Methodology and Nonresponse
Type
article
Field-Weighted Citation Impact
0.00

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article

An Experimental Comparison of Modular and Non-Modular Approaches for Administering Surveys via Smartphone Apps

Brady Thomas West, Jennifer Sinibaldi, Christopher Antoun, Xin Yang et al.
Journal of Survey Statistics and Methodology
Survey Methodology and Nonresponse
article

An Experimental Comparison of Modular and Non-Modular Approaches for Administering Surveys via Smartphone Apps

Brady Thomas West, Jennifer Sinibaldi, Christopher Antoun, Xin Yang, Syed Faizan Hussain Zaidi
article en

Abstract

Abstract Lengthy web surveys can be burdensome for respondents to complete in a single session. This study experimentally examines the effects of different app-based surveys, some of which use a modular design, on perceived burden, breakoffs, and indicators of satisficing behaviors. Participants (n = 664) were randomly assigned to one of four groups: (1) a browser-based web survey (control group), (2) an app-based survey, (3) a modular app dividing the survey into seven parts, and (4) a sequential modular app releasing modules at 48-hour intervals. Our findings indicate that administering surveys via apps can reduce the perceived burden of the survey task and improve response quality. Additionally, we find weak evidence that releasing modules individually over time can further enhance response quality, although this approach results in increased breakoffs between modules. The implications of these findings for the use of research apps and modular surveys are discussed.

Journal of Survey Statistics and MethodologyVol. 13(4)
United States Census Bureau (US), Institute for Social Research (NO), University of Maryland, College Park (US)
National Science Foundation, National Center for Science and Engineering Statistics
Openalex Percentile: Top 76%
Survey Methodology and Nonresponse
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An Experimental Comparison of Modular and Non-Modular Approaches for Administering Surveys via Smartphone Apps — Brady Thomas West, Jennifer Sinibaldi, et al. · Journal of Survey Statistics and Methodology (2025) | TGRS Research Map | TGRS