Occupation Coding During the Interview in a Web-First Sequential Mixed-Mode Survey

Peycheva Darina N. (), Sakshaug Joseph W. () and Calderwood Lisa ()
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Peycheva Darina N.: Centre for Longitudinal Studies, UCL Institute of Education, 55–59 Gordon Square, London WC1H 0NT, United Kingdom.
Sakshaug Joseph W.: Institute for Employment Research, 104 Regensburger Straße, Nuremberg 90478, Germany.
Calderwood Lisa: Centre for Longitudinal Studies, UCL Institute of Education, 55–59 Gordon Square, London WC1H 0NT, United Kingdom.

Journal of Official Statistics, 2021, vol. 37, issue 4, 981-1007

Abstract: Coding respondent occupation is one of the most challenging aspects of survey data collection. Traditionally performed manually by office coders post-interview, previous research has acknowledged the advantages of coding occupation during the interview, including reducing costs, processing time and coding uncertainties that are more difficult to address post-interview. However, a number of concerns have been raised as well, including the potential for interviewer effects, the challenge of implementing the coding system in a web survey, in which respondents perform the coding procedure themselves, or the feasibility of implementing the same standardized coding system in a mixed-mode self- and interviewer-administered survey. This study sheds light on these issues by presenting an evaluation of a new occupation coding method administered during the interview in a large-scale sequential mixed-mode (web, telephone, face-to-face) cohort study of young adults in the UK. Specifically, we assess the take-up rates of this new coding method across the different modes and report on several other performance measures thought to impact the quality of the collected occupation data. Furthermore, we identify factors that affect the coding of occupation during the interview, including interviewer effects. The results carry several implications for survey practice and directions for future research.

Keywords: Occupational classification; self-administration; interviewer-administration; coding error (search for similar items in EconPapers)
Date: 2021
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Persistent link: https://EconPapers.repec.org/RePEc:vrs:offsta:v:37:y:2021:i:4:p:981-1007:n:12

DOI: 10.2478/jos-2021-0042

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