Interviewer-Observed Paradata in Mixed-Mode and Innovative Data Collection
| Autor: | Kunz, Tanja, Daikeler, Jessica, Ackermann-Piek, Daniela |
|---|---|
| Rok vydání: | 2023 |
| Předmět: |
Sozialwissenschaften
Soziologie Social sciences sociology anthropology evidence map contact history information interviewer observations interviewer evaluations face-to-face interview CAPI-plus video interview knock-to-nudge Erhebungstechniken und Analysetechniken der Sozialwissenschaften Methods and Techniques of Data Collection and Data Analysis Statistical Methods Computer Methods Antwortverhalten Interview Datengewinnung Befragung Umfrageforschung Datenqualität data quality response behavior survey survey research interview data capture 10100 |
| Zdroj: | International Journal of Market Research, OnlineFirst, 1-13 |
| Druh dokumentu: | journal article<br />Zeitschriftenartikel |
| ISSN: | 2515-2173 |
| DOI: | 10.1177/14707853231184742 |
| Popis: | In this research note, we address the potentials of using interviewer-observed paradata, typically collected during face-to-face-only interviews, in mixed-mode and innovative data collection methods that involve an interviewer at some stage (e.g., during the initial contact or during the interview). To this end, we first provide a systematic overview of the types and purposes of the interviewer-observed paradata most commonly collected in face-to-face interviews—contact form data, interviewer observations, and interviewer evaluations—using the methodology of evidence mapping. Based on selected studies, we illustrate the main purposes of interviewer-observed paradata we identified—including fieldwork management, propensity modeling, nonresponse bias analysis, substantive analysis, and survey data quality assessment. Based on this, we discuss the possible use of interviewer-observed paradata in mixed-mode and innovative data collection methods. We conclude with thoughts on new types of interviewer-observed paradata and the potential of combining paradata from different survey modes. |
| Databáze: | SSOAR – Social Science Open Access Repository |
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