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 |
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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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