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Citizen Science" auf Basis des SOEP: Entwicklung und erste Anwendung eines Software-Tools für "Bürgerdialoge

Author

Listed:
  • Gert G. Wagner
  • Michaela Engelmann
  • Jan Goebel
  • Florian Griese
  • Marcel Hebing
  • Janine Napieraj
  • Marius Pahl
  • Carolin Stolpe
  • Monika Wimmer
  • Alexander Eickelpasch
  • Jürgen Schupp

Abstract

Up to now in the social sciences, what is known as citizen science—the involvement of interested citizens in scientific surveys—has been used relatively little as a method of empirical social research. While the “citizens’ dialogues” that are becoming more widespread in politics can be considered a kind of social scientific citizen science, the participants in these dialogues are not selected randomly from the population (as is the case in surveys) but volunteer to participate because of their interest in actively shaping the public sphere. However, the socio-structural characteristics of participants in citizens’ dialogues are usually unknown and therefore not statistically comparable with the characteristics of the population at large or of specific population groups. In the present paper, we report on a pretest conducted with visitors to the Long Night of the Sciences 2014 in Berlin (http://www.langenachtderwissenschaften.de/). At the event, visitors to the event—who are a kind of citizen scientists—were surveyed on socio-structural characteristics and were also asked whether they would be willing to take part in later focus group discussions. The survey was conducted with 31 participants (out of a total of around 150 visitors to DIW Berlin on the evening of the event), who answered questions on their socio-economic characteristics. Of these, eight individuals agreed to take part in later, more in-depth (focus group) discussions. The technology developed for this paper introduces the survey to respondents, describes the recording and analysis the statistical results, and extends to a statement on data privacy and the computer-based survey itself.

Suggested Citation

  • Gert G. Wagner & Michaela Engelmann & Jan Goebel & Florian Griese & Marcel Hebing & Janine Napieraj & Marius Pahl & Carolin Stolpe & Monika Wimmer & Alexander Eickelpasch & Jürgen Schupp, 2014. "Citizen Science" auf Basis des SOEP: Entwicklung und erste Anwendung eines Software-Tools für "Bürgerdialoge," SOEPpapers on Multidisciplinary Panel Data Research 666, DIW Berlin, The German Socio-Economic Panel (SOEP).
  • Handle: RePEc:diw:diwsop:diw_sp666
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    References listed on IDEAS

    as
    1. Gert Wagner & Jan Göbel & Peter Krause & Rainer Pischner & Ingo Sieber, 2008. "Das Sozio-oekonomische Panel (SOEP): Multidisziplinäres Haushaltspanel und Kohortenstudie für Deutschland – Eine Einführung (für neue Datennutzer) mit einem Ausblick (für erfahrene Anwender)," AStA Wirtschafts- und Sozialstatistisches Archiv, Springer;Deutsche Statistische Gesellschaft - German Statistical Society, vol. 2(4), pages 301-328, December.
    2. Gert G. Wagner & Joachim R. Frick & Jürgen Schupp, 2007. "The German Socio-Economic Panel Study (SOEP) – Scope, Evolution and Enhancements," Schmollers Jahrbuch : Journal of Applied Social Science Studies / Zeitschrift für Wirtschafts- und Sozialwissenschaften, Duncker & Humblot, Berlin, vol. 127(1), pages 139-169.
    3. Thomas Siedler & JÜrgen Schupp & C. Katharina Spiess & Gert G. Wagner, 2009. "The German Socio-Economic Panel (SOEP) as Reference Data Set," Schmollers Jahrbuch : Journal of Applied Social Science Studies / Zeitschrift für Wirtschafts- und Sozialwissenschaften, Duncker & Humblot, Berlin, vol. 129(2), pages 367-374.
    4. Jürgen Schupp & Jan Goebel & Martin Kroh & Gert G. Wagner, 2013. "Zufriedenheit in Deutschland so hoch wie nie nach der Wiedervereinigung: Ostdeutsche signifikant unzufriedener als Westdeutsche," DIW Wochenbericht, DIW Berlin, German Institute for Economic Research, vol. 80(47), pages 34-43.
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    More about this item

    Keywords

    Citizen science; representativness; Lime Survey; SOEP; Long Night of Science;
    All these keywords.

    JEL classification:

    • C81 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Methodology for Collecting, Estimating, and Organizing Microeconomic Data; Data Access
    • C93 - Mathematical and Quantitative Methods - - Design of Experiments - - - Field Experiments
    • H11 - Public Economics - - Structure and Scope of Government - - - Structure and Scope of Government
    • Z18 - Other Special Topics - - Cultural Economics - - - Public Policy

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