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Vita

Björn Rohr completed his bachelor's degree in integrative social sciences at the Technical University of Kaiserslautern in 2018. He specialized in sociology. In his master's degree (graduating in 2021) at the same university and in the program of the same name, his focus was also on sociology and quantitative social science.

Since September 2021, he has been working at GESIS as a research assistant in the Survey Operations (SDM) team. There, he conducts research on the application of non-probabilistic surveys for the social sciences and on their data quality in comparison to probabilistic surveys.

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Publications

Publication

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Other article

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.

Lecture

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Presentation at a conference

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 Probability and Non-Probability Surveys against Benchmarks from the German Mikrocensus." 10. Konferenz "Forschen mit dem Mikrozensus", Online, 2022-11-24.

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Presentation not at a conference

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.