A comparison of four probability-based online and mixed-mode panels in Europe


Blom, Annelies G. ; Bosnjak, Michael ; Cornilleau, Anne ; Cousteaux, Anne-Sophie ; Das, Marcel ; Douhou, Salima ; Krieger, Ulrich



DOI: https://doi.org/10.1177/0894439315574825
URL: http://journals.sagepub.com/doi/abs/10.1177/089443...
Additional URL: http://openaccess.city.ac.uk/id/eprint/14488
Document Type: Article
Year of publication: 2016
The title of a journal, publication series: Social Science Computer Review : SSCORE
Volume: 34
Issue number: 1
Page range: 8-25
Place of publication: Thousand Oaks, CA ; London
Publishing house: Sage
ISSN: 0894-4393 ; 1552-8286
Publication language: English
Institution: Außerfakultäre Einrichtungen > Mannheim Centre for European Social Research - Research Department B
School of Social Sciences > Methoden d. empirischen Sozialforschung insbes. Internet Panel Survey-Forschung (Juniorprofessur) (Blom 2012-2017)
Subject: 320 Political science
Abstract: Inferential statistics teach us that we need a random probability sample to infer from a sample to the general population. In online survey research, however, volunteer access panels, in which respondents self-select themselves into the sample, dominate the landscape. Such panels are attractive due to their low costs. Nevertheless, recent years have seen increasing numbers of debates about the quality, in particular about errors in the representativeness and measurement, of such panels. In this article, we describe four probability-based online and mixed-mode panels for the general population, namely, the Longitudinal Internet Studies for the Social Sciences (LISS) Panel in the Netherlands, the German Internet Panel (GIP) and the GESIS Panel in Germany, and the Longitudinal Study by Internet for the Social Sciences (ELIPSS) Panel in France. We compare them in terms of sampling strategies, offline recruitment procedures, and panel characteristics. Our aim is to provide an overview to the scientific community of the availability of such data sources to demonstrate the potential strategies for recruiting and maintaining probability-based online panels to practitioners and to direct analysts of the comparative data collected across these panels to methodological differences that may affect comparative estimates.

Dieser Eintrag ist Teil der Universitätsbibliographie.




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Blom, Annelies G. ; Bosnjak, Michael ; Cornilleau, Anne ; Cousteaux, Anne-Sophie ; Das, Marcel ; Douhou, Salima ; Krieger, Ulrich (2016) A comparison of four probability-based online and mixed-mode panels in Europe. Social Science Computer Review : SSCORE Thousand Oaks, CA ; London 34 1 8-25 [Article]


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