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...
Weitere URL: http://openaccess.city.ac.uk/id/eprint/14488
Dokumenttyp: Zeitschriftenartikel
Erscheinungsjahr: 2016
Titel einer Zeitschrift oder einer Reihe: Social Science Computer Review : SSCORE
Band/Volume: 34
Heft/Issue: 1
Seitenbereich: 8-25
Ort der Veröffentlichung: Thousand Oaks, Calif. [u.a.]
Verlag: Sage
ISSN: 0894-4393 , 1552-8286
Sprache der Veröffentlichung: Englisch
Einrichtung: Außerfakultäre Einrichtungen > MZES - Arbeitsbereich B
Fakultät für Sozialwissenschaften > Methoden d. empirischen Sozialforschung insbes. Internet Panel Survey-Forschung (Juniorprofessur) (Blom 2012-2017)
Fachgebiet: 320 Politik
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.




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