20.500.12556/RUL-166179 Identifying a set of key paradata indicators in web surveys based on the relationship with response quality, respondent characteristics and survey estimates Web survey paradata refer to the digital traces left by respondents, which can provide valuable insights into the response process. An exhaustive literature review revealed that web survey paradata have predominantly been studied in relation to response quality and sometimes also in relation to respondent characteristics and survey estimates. A broad range of paradata indicators was already employed for these purposes in the literature. This paper aimed to identify a minimal set of paradata indicators that can be used as general characteristics of respondents, similar to sociodemographic variables. In the empirical part of the paper, a comprehensive set of raw paradata for a typical web survey was collected (n = 3,458). Based on the literature, an initial set of 112 paradata indicators was identified and further reduced through subsequent steps. Finally, the potential paradata indicators were examined for their statistically significant relationship with 9 response quality indicators, 8 respondent characteristics (including the Big Five personality dimensions), and 13 survey estimates related to computers and Internet use. The result of this process was a set of 12 key paradata indicators that could serve as a starting point for establishing a standardised set of paradata indicators, which could potentially augment the web survey response data. web surveys paradata smartphones response quality data quality survey estimates respondent characteristics big five spletne ankete pametni telefoni true false true Angleški jezik Slovenski jezik Članek v reviji 2024-12-23 10:06:30 2024-12-23 10:06:32 2024-12-24 03:47:15 0000-00-00 00:00:00 2024 0 0 Str. 225-249 no. 3 Vol. 18 2024 0000-00-00 Zaloznikova Objavljeno NiDoloceno 0000-00-00 0000-00-00 0000-00-00 303.62:004.738.5 1864-3361 10.18148/srm/2024.v18i3.8304 220207107 Vehovar_et_al_SRM.pdf Vehovar_et_al_SRM.pdf 1 02C802E96BB4FB7AC46E1405B4A0D33A 7e40bd16467ac851cf3c1986bb7689a023392248bc8f0f3151986e7b7cae6f6c c8416c56-c10c-11ef-b232-0050569b8976 https://repozitorij.uni-lj.si/Dokument.php?lang=slv&id=197586 https://ojs.ub.uni-konstanz.de/srm/article/view/8304 0 d07c2bbc-c10c-11ef-b232-0050569b8976 https://repozitorij.uni-lj.si/Dokument.php?lang=slv&id=197587 Fakulteta za družbene vede 0 0 0