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 digital traces left by respondents in web surveys that provide valuable insights into the response process. This paper aimed to identify a minimal set of paradata indicators that can be used in a similar manner to sociodemographic variables, i.e. as general characterist...
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| Language: | English |
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European Survey Research Association
2024-12-01
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| Series: | Survey Research Methods |
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| Online Access: | https://ojs.ub.uni-konstanz.de/srm/article/view/8304 |
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| author | Vasja Vehovar Nejc Berzelak Gregor Čehovin |
| author_facet | Vasja Vehovar Nejc Berzelak Gregor Čehovin |
| author_sort | Vasja Vehovar |
| collection | DOAJ |
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Web survey paradata refer to digital traces left by respondents in web surveys that provide valuable insights into the response process. This paper aimed to identify a minimal set of paradata indicators that can be used in a similar manner to sociodemographic variables, i.e. as general characteristics of respondents. The 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. 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 Big Five personality dimensions) and 13 survey estimates (related to computers and internet). The result of this process was a set of 12 key paradata indicators that could serve as a starting point for the creation of standardised paradata indicators that could potentially augment web survey response data.
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| format | Article |
| id | doaj-art-9c52b6b7246846cd86811002f2e49faf |
| institution | Kabale University |
| issn | 1864-3361 |
| language | English |
| publishDate | 2024-12-01 |
| publisher | European Survey Research Association |
| record_format | Article |
| series | Survey Research Methods |
| spelling | doaj-art-9c52b6b7246846cd86811002f2e49faf2025-02-09T14:16:09ZengEuropean Survey Research AssociationSurvey Research Methods1864-33612024-12-01183Identifying a Set of Key Paradata Indicators in Web Surveys Based on the Relationship with Response Quality, Respondent Characteristics and Survey EstimatesVasja Vehovar0Nejc Berzelak1Gregor Čehovin2Centre for Social Informatics, Faculty of Social Sciences, University of Ljubljana, Kardeljeva ploščad 5, 1000 Ljubljana, SloveniaNational Institute of Public Health, Trubarjeva 2, 1000 Ljubljana, SloveniaCentre for Social Informatics, Faculty of Social Sciences, University of Ljubljana, Kardeljeva ploščad 5, 1000 Ljubljana, Slovenia Web survey paradata refer to digital traces left by respondents in web surveys that provide valuable insights into the response process. This paper aimed to identify a minimal set of paradata indicators that can be used in a similar manner to sociodemographic variables, i.e. as general characteristics of respondents. The 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. 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 Big Five personality dimensions) and 13 survey estimates (related to computers and internet). The result of this process was a set of 12 key paradata indicators that could serve as a starting point for the creation of standardised paradata indicators that could potentially augment web survey response data. https://ojs.ub.uni-konstanz.de/srm/article/view/8304Web SurveysParadatasmartphonesresponse qualityData qualitysurvey estimates |
| spellingShingle | Vasja Vehovar Nejc Berzelak Gregor Čehovin Identifying a Set of Key Paradata Indicators in Web Surveys Based on the Relationship with Response Quality, Respondent Characteristics and Survey Estimates Survey Research Methods Web Surveys Paradata smartphones response quality Data quality survey estimates |
| title | Identifying a Set of Key Paradata Indicators in Web Surveys Based on the Relationship with Response Quality, Respondent Characteristics and Survey Estimates |
| title_full | Identifying a Set of Key Paradata Indicators in Web Surveys Based on the Relationship with Response Quality, Respondent Characteristics and Survey Estimates |
| title_fullStr | Identifying a Set of Key Paradata Indicators in Web Surveys Based on the Relationship with Response Quality, Respondent Characteristics and Survey Estimates |
| title_full_unstemmed | Identifying a Set of Key Paradata Indicators in Web Surveys Based on the Relationship with Response Quality, Respondent Characteristics and Survey Estimates |
| title_short | Identifying a Set of Key Paradata Indicators in Web Surveys Based on the Relationship with Response Quality, Respondent Characteristics and Survey Estimates |
| title_sort | identifying a set of key paradata indicators in web surveys based on the relationship with response quality respondent characteristics and survey estimates |
| topic | Web Surveys Paradata smartphones response quality Data quality survey estimates |
| url | https://ojs.ub.uni-konstanz.de/srm/article/view/8304 |
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