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Interviewer-Observed Paradata in Mixed-Mode and Innovative Data Collection

[journal article]

Kunz, Tanja
Daikeler, Jessica
Ackermann-Piek, Daniela

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).... view more

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.... view less

Keywords
data quality; response behavior; survey; survey research; interview; data capture

Classification
Methods and Techniques of Data Collection and Data Analysis, Statistical Methods, Computer Methods

Free Keywords
evidence map; contact history information; interviewer observations; interviewer evaluations; face-to-face interview; CAPI-plus; video interview; knock-to-nudge

Document language
English

Publication Year
2023

Page/Pages
p. 1-13

Journal
International Journal of Market Research (2023) OnlineFirst

DOI
https://doi.org/10.1177/14707853231184742

ISSN
2515-2173

Status
Published Version; peer reviewed

Licence
Creative Commons - Attribution 4.0

FundingGefördert durch die Deutsche Forschungsgemeinschaft (DFG) - Projektnummer 491156185 / Funded by the German Research Foundation (DFG) - Project number 491156185


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© 2007 - 2025 Social Science Open Access Repository (SSOAR).
Based on DSpace, Copyright (c) 2002-2022, DuraSpace. All rights reserved.