Reference : Sequential On-Device Multitasking within Online Surveys: A Data Quality and Response ...
Scientific journals : Article
Social & behavioral sciences, psychology : Sociology & social sciences
Sequential On-Device Multitasking within Online Surveys: A Data Quality and Response Behavior Perspective
Decieux, Jean Philippe Pierre mailto [University of Luxembourg > Faculty of Language and Literature, Humanities, Arts and Education (FLSHASE) > Integrative Research Unit: Social and Individual Development (INSIDE) >]
Sociological Methods and Research
[en] distractions ; response behavior ; satisficing ; data quality ; paradata ; multitasking ; online survey ; bias ; popability-based data ; GERPS
[en] The risk of multitasking is high in online surveys. However, knowledge on the effects of multitasking on answer quality is sparse and based on suboptimal approaches. Research reports inconclusive results concerning the consequences of multitasking on task performance. However, studies suggest that especially sequential-multitasking activities are expected to be critical. Therefore, this study focusses on sequential-on-device-multitasking activities (SODM) and its consequences for data quality. Based on probability-based data, this study aims to reveal the prevalence of SODM based on the javascript function OnBlur, to reflect its determinants and to examine the consequences for data quality. Results show that SODM was detected for 25% of all respondents and that respondent attributes and the device used to answer the survey are related to SODM. Moreover, it becomes apparent that SODM is significantly correlated to data quality measures. Therefore, I propose SODM behavior as a new instrument for researching suboptimal response behavior.
German Research Foundation (DFG)
Researchers ; Professionals ; Students ; Others

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