In survey research, it is important for researchers not to provide low-quality or even incorrect answers. In online survey modes, this risk is particularly high, as respondents answer questions without the presence of an interviewer and are consequently unsupervised. Therefore, the researcher does not have direct insight into the answering process. However, some insight into the process is provided by the analysis of paradata - digital traces left by the respondent. In the analysis of paradata in online surveys, response time measurement is most commonly used, typically referring to the time spent on a specific web page of the survey questionnaire. Response time has also become a standard indicator of the quality of the cognitive response survey process. In this context, the most critical issue is excessively fast responding, which occurs because respondents are more motivated to complete the questionnaire as quickly as possible rather than providing quality answers. In the first part of the master's thesis, we reviewed the background and theoretical approaches to speeders in online surveying. In the second – empirical part, based on reviews of scientific works published in 2022 and 2023, we discussed in more detail the approaches researchers use to detect and address excessively fast respondents. Our research found that the treatment of speeders in survey practice is generally poorly documented, theoretically weakly supported, and lacks a unified approach.
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