Die vielen Gesichter von GESIS
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Arbeits- und Diskussionspapier
Rohr, Björn, Henning Silber, and Barbara Felderer. 2023. Comparing the accuracy of univariate, bivariate, and multivariate estimates across probability and non-probability surveys with populations benchmarks. SocArXiv. doi: https://doi.org/10.31235/osf.io/n6ehf.
Konferenzbeitrag
Rohr, Björn, Barbara Felderer, Steffen Pötzschke, Jan Priebe, Henning Silber, and Bernd Weiß. 2023. "Comparing Social Media Samples in Africa against the Demographic Health Survey." General Online Research Conference (GOR) 2023, 2023-07-21.
Rohr, Björn, Barbara Felderer, Steffen Pötzschke, Jan Priebe, Henning Silber, and Bernd Weiß. 2023. "Sampling a Cross-National Health Survey with Social Media Advertisements: Comparing Selection Bias for Different Targeting Strategies in Three African Countries." European Survey Research Association (ESRA) 2023 Conference, 2023-07-20.
Rohr, Björn, Henning Silber, and Barbara Felderer. 2022. "Comparing Bivariate and Multivariate Relationships Across four Non-Probability and Probability Surveys." DAGStat Conference 2022, Universität Hamburg, Hamburg, 2022-03-28.
Rohr, Björn, Barbara Felderer, and Henning Silber. 2022. "Comparing estimates of probability and non-probability surveys against populations benchmarks from the German Mikrozensus." General Online Research Conference (GOR) 2022, 2022-09-08.
Rohr, Björn, Barbara Felderer, and Henning Silber. 2022. "Comparing Probability and Non-Probability Surveys against Benchmarks from the German Mikrocensus." 10. Konferenz "Forschen mit dem Mikrozensus", Online, 2022-11-24.
Beitrag nicht auf Konferenz
Rohr, Björn, Henning Silber, and Barbara Felderer. 2023. "Comparing probability and non-probability surveys against population benchmarks from the German Microcensus." DRS Research Colloquium, GESIS - Leibniz-Institut für Sozialwissenschaften, Mannheim, 2023-05-16.
Rohr, Björn, Henning Silber, and Barbara Felderer. 2021. "Der Vergleich zwischen nicht-probabilistischen und probabilistischen Samples. : Erste Ergebnisse und R-Tools.." Non-Probability AG, GESIS., GESIS - Leibniz-Institut für Sozialwissenschaften, Mannheim.