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 Online-Ressource
Verfasst von:Herzing, Jessica M. E. [VerfasserIn]   i
 Vandenplas, Caroline [VerfasserIn]   i
 Axenfeld, Julian [VerfasserIn]   i
Titel:A data-driven approach to monitoring data collection in an online panel
Verf.angabe:Jessica M.E. Herzing, Caroline Vandenplas, Julian B. Axenfeld
Jahr:2019
Umfang:20 S.
Fussnoten:Gesehen am 08.06.2020
Titel Quelle:Enthalten in: Longitudinal and life course studies
Ort Quelle:London : Longview, 2009
Jahr Quelle:2019
Band/Heft Quelle:10(2019), 4, Seite 433-452
ISSN Quelle:1757-9597
Abstract:Longitudinal or panel surveys suffer from panel attrition which may result in biased estimates. Online panels are no exceptions to this phenomenon, but offer great possibilities in monitoring and managing the data-collection phase and response-enhancement features (such as reminders), due to real-time availability of paradata. This paper presents a datadriven approach to monitor the data-collection phase and to inform the adjustment of response-enhancement features during data collection across online panel waves, which takes into account the characteristics of an ongoing panel wave. For this purpose, we study the evolution of the daily response proportion in each wave of a probability-based online panel. Using multilevel models, we predict the data-collection evolution per wave day. In our example, the functional form of the data-collection evolution is quintic. The characteristics affecting the shape of the data-collection evolution are those of the specific wave day and not of the panel wave itself. In addition, we simulate the monitoring of the daily response proportion of one panel wave and find that the timing of sending reminders could be adjusted after 20 consecutive panel waves to keep the data-collection phase efficient. Our results demonstrate the importance of re-evaluating the characteristics of the data-collection phase, such as the timing of reminders, across the lifetime of an online panel to keep the fieldwork efficient.
DOI:doi:10.1332/175795919X15694136006114
URL:Bitte beachten Sie: Dies ist ein Bibliographieeintrag. Ein Volltextzugriff für Mitglieder der Universität besteht hier nur, falls für die entsprechende Zeitschrift/den entsprechenden Sammelband ein Abonnement besteht oder es sich um einen OpenAccess-Titel handelt.

Volltext: https://doi.org/10.1332/175795919X15694136006114
 DOI: https://doi.org/10.1332/175795919X15694136006114
Datenträger:Online-Ressource
Sprache:eng
Sach-SW:attrition
 bias
 fieldwork
 nonresponse rates
 panel attrition
 probability-based online
 reminder procedure
 response rates
 responsive design
 web
 web survey
K10plus-PPN:1700152300
Verknüpfungen:→ Zeitschrift

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