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Missing Data in Disguise and Implications for Survey Data Analysis

Bibliographic Data

ID2407210
AuthorsLin Wang (0000-0003-3048-1776, Educational Testing Service), Xitao Fan (0000-0001-8527-2563, University of Virginia)
Year2004
Volume16
Issue3
Pages332-351
Publication date2004-08-01
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueCAM (JOURNAL)
Journal identifiersISSN: 1087-8513 • E-ISSN: 1552-3969
PublisherSAGE Publications Inc (PUBLISHER)
DOI10.1177/1525822x03262276
OpenAlexW2124949466
LanguageEN
References cited10

The phenomenon was observed that more "not applicable" (NA) responses occurred for the items near the end of a survey instrument than for those at the beginning. In this article, the authors present evidence that this phenomenon represents missing data in disguise in a survey study, especially when the survey is long. They explore the implications for survey data analysis in this situation. Practical recommendations are made for survey instrument construction and survey data analysis to minimize the potential adverse effect of such missing data in disguise. Limitations of the study are also discussed

Data science · Epistemology · Missing data · Phenomenon · Statistics · Survey data collection · Survey instrument · Survey methodology · Survey research · Applied Psychology · Computer Science · Economic and Environmental Valuation · Healthcare Policy and Management · Mathematics · Psychology · Survey Methodology and Nonresponse

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Citation velocityhistorical
Highly citedNo

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