Equipping the Offline Population with Internet Access in an Online Panel: Does It Make a Difference?

Author:

Bach Ruben L1ORCID,Cornesse Carina2ORCID,Daikeler Jessica3ORCID

Affiliation:

1. Mannheim Centre for European Social Research (MZES), University of Mannheim Senior Researcher with the , A5, 6, 68159 Mannheim, Germany

2. German Institute for Economic Research (DIW Berlin) Senior Researcher with the , Mohrenstrasse 58, 10117 Berlin, Germany, and Research Institute Social Cohesion (RISC), University of Bremen, Bibliothekstrasse 1, 28359 Bremen, Germany

3. GESIS—Leibniz Institute for the Social Sciences Senior Researcher with the , B6, 4-5, 68159 Mannheim, Germany

Abstract

Abstract Online panel surveys are often criticized for their inability to cover the offline population, potentially resulting in coverage error. Previous research has demonstrated that non-internet users in fact differ from online individuals on several sociodemographic characteristics. In attempts to reduce coverage error due to missing the offline population, several probability-based online panels equip offline households with an internet connection and a simple computer or tablet. However, the question remains whether the recruitment of offline individuals for an online panel leads to substantial changes in survey estimates. That is, it is unclear whether estimates derived from the survey data are affected by the differences between the groups of online and offline individuals. Against this background, we investigate how the inclusion of the previously offline population into the German Internet Panel affects various survey estimates such as voting behavior and social engagement. Overall, we find little evidence for the claim that equipping otherwise offline individuals with online access affects the estimates derived from previously online individuals only.

Funder

German Research Foundation

DFG

Publisher

Oxford University Press (OUP)

Subject

Applied Mathematics,Statistics, Probability and Uncertainty,Social Sciences (miscellaneous),Statistics and Probability

Reference32 articles.

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