"PubBias:" Opening the File Drawer: Assessing and Understanding Publication Bias in the Social, Economic, and Behavioral Sciences by Utilizing two German Probabilistic Panels


Leader

Dr. Jessica Daikeler
PD Dr. Henning Silber
Dr. Bernd Weiß

Team

Dr. Désirée Nießen
Caroline Poppa
Prof. Dr. David Richter

Abstract

What is Publication Bias?

Publication bias refers to the prioritized and selective reporting of statistically significant scientific results. It is based on the assumption that statistically significant findings are generally regarded as “better,” “more valuable,” or “more worthy of publication” compared to non-significant results. This premise may lead researchers to either a) publish only their significant results without mentioning other effects below standard statistical thresholds, b) change their hypotheses (or research questions) post hoc, or c) not publish their results at all. This can be problematic, as time and resources may repeatedly be invested in conducting research that has already been conducted but not published. Moreover, the insights from non-significant results (by assuming the null hypothesis) are lost for science and society. In psychology, the effects of this  selection pressure became evident during the “replication crisis” of the past decade.

 

Research Focus

The research project “PubBias” (DFG 512014619) aims to assess the prevalence and determinants of publication bias in the social, economic, and behavioral sciences in Germany on the basis of two probabilistic, academic, longitudinal surveys in order to shed light on the decision-making process of researchers when publishing their scientific results. For this purpose, we compare successful research proposals (2012–2021) from the GESIS Panel and the Innovation Sample of the Socio-Economic Panel (SOEP-IS) with their subsequent publications and conduct an author survey that addresses the decision-making process regarding these publications and hypothetical works.

 

Who We Are – The Project Team

“PubBias” originated from the cooperation between the GESIS Panel and the SOEP-IS and has been funded by the German Research Foundation (DFG) since 2023.

Our research team consists of six researchers from various disciplines (including psychology, sociology, and survey methodology) located in Mannheim (GESIS – Leibniz Institute for the Social Sciences), Berlin (SHARE BERLIN Institute), and Ann Arbor (University of Michigan).


Collaboration Partners


Publications

Preregistrations: 

Nießen, D., Poppa, C., Daikeler, J., & Silber, H. (2025). Relationship between researchers’ perceptions of publication behavior in the scientific community and publication bias. OSF. https://doi.org/10.17605/OSF.IO/4BD8T

https://doi.org/10.17605/OSF.IO/4BD8TNießen, D., Daikeler, J., Silber, H., Weiß, B., Poppa, C., & Richter, D. (2023). Opening the file drawer: Assessing and understanding publication bias in the social, economic, and behavioral sciences by utilizing two German academic probabilistic panels. OSF. https://doi.org/10.17605/OSF.IO/B4QRP

Data set:

Nießen, D., Poppa, C., & Krone, R. (2025). Coded submissions and publications (from the project “Opening the file drawer: Assessing and understanding publication bias in the social, economic, and behavioral sciences”) (Version 1.0.0) [Data set]. GESIS – Leibniz Institute for the Social Sciences. https://doi.org/10.7802/2942

https://doi.org/10.7802/2942

Preprints: 

Nießen, D., Poppa, C., Daikeler, J., Silber, H., Weiß, B., & Richter, D. (2025). Actor-driven risk factors of publication bias: Opening the file drawer of two probabilistic panel surveys. PsyArXiv. https://doi.org/10.31234/osf.io/phk3a_v1

Poppa, C., Nießen, D., Daikeler, J., Silber, H., Weiß, B., & Richter, D. (2025). The tip of the iceberg? Insights into the prevalence of publication bias in two probability-based academic panels. PsyArXiv. https://doi.org/10.31234/osf.io/bj3g9_v1


Runtime

2023-08-01 – 2028-12-31

Partner

  • SOEP – The Socio-Economic Panel, DIW – German Institute of Economic Research
  • SHARE BERLIN Institute

Funding


Deutsche Forschungsgemeinschaft