A data-driven approach to monitoring data collection in an online panel

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Serval ID
serval:BIB_9DFEFF703617
Type
Article: article from journal or magazin.
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Publications
Institution
Title
A data-driven approach to monitoring data collection in an online panel
Journal
Longitudinal and Life Course Studies
Author(s)
Herzing Jessica M. E. , Vandenplas Caroline, Axenfeld Julian B.
Publication state
Published
Issued date
15/10/2019
Peer-reviewed
Oui
Volume
10
Number
4
Pages
433-452
Language
english
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 (e.g., reminders), due to real-time availability of paradata. This paper presents a data-driven 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 characteristics 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.
Keywords
fieldwork, panel attrition, reminder procedure, response rates, web survey
Create date
07/03/2018 14:14
Last modification date
06/11/2019 7:08
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