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 the 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.

在线调查中多任务处理的风险很高。然而，关于多任务处理对答案质量影响的知识很少，并且基于次优方法。研究报告了关于多任务处理对任务绩效的影响的不确定结果。然而，研究表明，特别是顺序多任务活动预计将是至关重要的。因此，本研究的重点是设备上的顺序多任务活动 (SODM) 及其对数据质量的影响。基于基于概率的数据，本研究旨在基于 JavaScript 函数 OnBlur 揭示 SODM 的流行，以反映其决定因素并检查对数据质量的影响。结果显示，25% 的受访者检测到 SODM，并且受访者的属性和用于回答调查的设备与 SODM 相关。此外，很明显 SODM 与数据质量测量显着相关。因此，我提出 SODM 行为作为研究次优响应行为的新工具。