Enhancing Survey Quality: Continuous Data Processing Systems

Producers of large government-sponsored surveys regularly use Computer-Assisted Interviewing (CAI) software to design data collection instruments, monitor fieldwork operations, and evaluate data quality. When used in conjunction with responsive survey designs, last-minute modifications to problems i...

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Veröffentlicht in:Journal of official statistics 2019-06, Vol.35 (2), p.337-352
Hauptverfasser: Dinkelmann, Karl, Granda, Peter, Shove, Michael
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container_title Journal of official statistics
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creator Dinkelmann, Karl
Granda, Peter
Shove, Michael
description Producers of large government-sponsored surveys regularly use Computer-Assisted Interviewing (CAI) software to design data collection instruments, monitor fieldwork operations, and evaluate data quality. When used in conjunction with responsive survey designs, last-minute modifications to problems in the field are quickly addressed. Complementing this strategy, but little discussed, is the need to implement similar changes in the post data collection stage of the survey data life cycle. We describe a continuous data processing system where completed interviews are carefully examined as soon as they are collected; editing, recode, and imputation programs are applied using CAI tools; and the results are reviewed to correct problematic cases. The goal: provide higher quality data and shorten the time between the conclusion of data collection and the appearance of public use data files.
doi_str_mv 10.2478/jos-2019-0016
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source De Gruyter Open Access Journals; Sage Journals GOLD Open Access 2024; EZB-FREE-00999 freely available EZB journals; Sociological Abstracts
subjects curation
Data collection
Data processing
Data quality
dissemination
Interviews
Polls & surveys
Public use
Software
title Enhancing Survey Quality: Continuous Data Processing Systems
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