The project “Opening the File Drawer: Assessing and Understanding Publication Bias in the Social, Economic, and Behavioral Sciences” aims to assess the prevalence of publication bias and to identify its risk factors. Our interest lies in understanding the decision-making processes that lead researchers to selectively publish certain results, while others remain in the “file drawer.” Specifically, we examined successful study submissions by external researchers to two German probabilistic panels (the GESIS Panel and SOEP-IS), and analyzed discrepancies between, among other things, the research questions and hypotheses stated in the original study submissions and how they were presented in the subsequent publication(s). In a first step, we collected detailed information on the study submissions, the publications, and the authors. In a second step, we conducted an author survey among the submission authors. The present dataset contains the coding dataset – that is, all information extracted from the study submissions and the corresponding publications. The following six files are published here: – PubBias_Analysis dataset.dta (i.e., the final analysis dataset) – PubBias_Analysis dataset_Codebook.xlsx (i.e., the codebook for the analysis dataset) – PubBias_Coding scheme.xlsx (i.e., the coding scheme used to extract information from the submission documents and corresponding publications) – PubBias_Data preparation code.do (i.e., the data preparation code that converts the raw dataset into the analysis dataset) – PubBias_Data preparation_Log file.log (i.e., the log file containing the output of the data preparation) – PubBias_Raw dataset.xlsx (i.e., the raw dataset derived from coding of the submission documents and corresponding publications)

Successfully accepted study submissions to the GESIS Panel or SOEP-IS, fielded between 2013 and 2021

Content Analysis