Representativeness of Surveys Using Internet-based Data Collection
|Convenor||Professor Michael Bosnjak (GESIS - Leibniz Institute for the Social Sciences )|
|Coordinator 1||Mr Ulrich Krieger (University of Mannheim)|
|Coordinator 2||Dr Tobias Enderle (GESIS - Leibniz Institute for the Social Sciences)|
Recruitment into the German Internet Panel consisted of various stages: the face-to-face household interview, mailed invitations to the online survey, reminder letters, a phone follow-up, and final mailed reminders. During the face-to-face phase we conducted an experiment with €5 unconditional (prepaid) vs. €10 conditional household (promised) incentives.
In this presentation we to compare characteristics, opinions, attitudes and interest in the survey topic of sample members from the 5€ and the 10€ households on two stages of the process: face-to-face survey participation and online panel registration.
The LISS panel is a large-scale online panel established in 2007 on the basis of a random probability sample from the Dutch population. The panel has been in place between from 2007 to 2014 and has been maintained to the highest methodological standards currently available. Nevertheless, the panel has experienced drop-out of respondents in the course of its life time. In this project, we evaluate by means of representativeness (R-) indicators to which degree this attrition was selectivity hampering representativeness over the lifetime of the panel.
One major aim of any survey is to allow for inferences about certain properties of a pre-defined population. The degree to which sample estimates match population values is commonly termed ´degree of representativeness´. However, it is largely unclear which features of surveys explain the degree of representativeness. Using meta-analytic techniques, the overall goal of this paper is to estimate the extent to which survey design features (survey administration mode, sample type, number of survey waves) and the different representativeness concepts and their respective operationalizations (kind of representativeness indicator, number and type of auxiliary variables) explain a surveys´ representativeness.
During the last decade, the internet has moved from an attractive data collection mode to a common way to administer surveys. The ELIPSS Panel (Étude longitudinale par internet pour les sciences sociales) is one of the probability-based web panels across Europe. This paper focuses on the lessons learned from the pilot study to set up the main panel. First, we will give an overview of the recruitment procedure planned for 2015 in the light of the pilot results. Then, we will present the specifications for the management of the panel to maintain monthly participation and limit attrition.
One aim of KiGGS is to collect representative data of children and adolescents and their parents. In the pretest of Wave 2, a mixed-mode survey design (paper/web offer) was evaluated regarding the net sample composition. The gross sample comprised 11,140 addresses which were randomly allocated to five experimental groups. The net samples were composed similarly regarding socio-demographic attributes. Among the participants who used the web mode, the fraction of highly educated participants was significantly higher than in the group who used paper questionnaires. Ultimately, KiGGS Wave 2 is conducted in a single-mode design.