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@article{ Kunz2023,
 title = {Interviewer-Observed Paradata in Mixed-Mode and Innovative Data Collection},
 author = {Kunz, Tanja and Daikeler, Jessica and Ackermann-Piek, Daniela},
 journal = {International Journal of Market Research},
 number = {OnlineFirst},
 pages = {1-13},
 year = {2023},
 issn = {2515-2173},
 doi = {https://doi.org/10.1177/14707853231184742},
 urn = {https://nbn-resolving.org/urn:nbn:de:0168-ssoar-87043-2},
 abstract = {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.},
 keywords = {Antwortverhalten; Interview; Datengewinnung; data quality; response behavior; survey; survey research; interview; data capture; Befragung; Umfrageforschung; Datenqualität}}