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https://doi.org/10.18148/srm/2019.v13i3.7403
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Too Fast, too Straight, too Weird: Non-Reactive Indicators for Meaningless Data in Internet Surveys
[Zeitschriftenartikel]
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... mehr
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.... weniger
Thesaurusschlagwörter
Umfrageforschung; Internet; Online-Befragung; Datengewinnung; Datenqualität
Klassifikation
Erhebungstechniken und Analysetechniken der Sozialwissenschaften
Freie Schlagwörter
data cleaning; careless responding; meaningless data; paradata; web based surveys
Sprache Dokument
Englisch
Publikationsjahr
2019
Seitenangabe
S. 229-248
Zeitschriftentitel
Survey Research Methods, 13 (2019) 3
ISSN
1864-3361
Status
Veröffentlichungsversion; begutachtet (peer reviewed)
Lizenz
Deposit Licence - Keine Weiterverbreitung, keine Bearbeitung