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Too Fast, too Straight, too Weird: Non-Reactive Indicators for Meaningless Data in Internet Surveys
[journal article]
Abstract
Practitioners use various indicators to screen for meaningless, careless, or fraudulent responses in Internet surveys. This study employs an experimental-like design to empirically test the ability of non-reactive indicators to identify records with low data quality. Findings suggest that careless r... view more
Practitioners use various indicators to screen for meaningless, careless, or fraudulent responses in Internet surveys. This study employs an experimental-like design to empirically test the ability of non-reactive indicators to identify records with low data quality. Findings suggest that careless responses are most reliably identified by questionnaire completion time, but the tested indicators do not allow for detecting intended faking. The article introduces various indicators, their benefits and drawbacks, proposes a completion speed index for common application in data cleaning, and discusses whether to remove meaningless records at all.... view less
Keywords
survey research; Internet; online survey; data capture; data quality
Classification
Methods and Techniques of Data Collection and Data Analysis, Statistical Methods, Computer Methods
Free Keywords
data cleaning; careless responding; meaningless data; paradata; web based surveys
Document language
English
Publication Year
2019
Page/Pages
p. 229-248
Journal
Survey Research Methods, 13 (2019) 3
ISSN
1864-3361
Status
Published Version; peer reviewed
Licence
Deposit Licence - No Redistribution, No Modifications