2026-05-30T12:37:36Z https://datacatalogue.cessda.eu/oai-pmh/v0/oai

a526523fc03a936050e0ee008dc8c6577f6b24298f25d1e588e79cff0f73bbd7 2025-10-20T02:56:39Z language:enopenaire_data

DDI study level documentation for study 10.7802/2942 Coded Submissions and Publications (from the Project "Opening the File Drawer: Assessing and Understanding Publication Bias in the Social, Economic, and Behavioral Sciences" ) Coded Submissions and Publications (from the Project "Opening the File Drawer: Assessing and Understanding Publication Bias in the Social, Economic, and Behavioral Sciences" ) Coded Submissions and Publications (from the Project "Opening the File Drawer: Assessing and Understanding Publication Bias in the Social, Economic, and Behavioral Sciences" ) 10.7802/294210.7802/294210.7802/294210.7802/2942 Nießen, Désirée Nießen, Désirée Poppa, Caroline Poppa, Caroline Krone, Rabea Krone, Rabea [DFG (Deutsche Forschungsgemeinschaft)] GESIS Data Archive for the Social SciencesGESIS Datenarchiv für Sozialwissenschaften reportingtransparencyreproductionscience ethicsreportingtransparencyreproductionscience ethics 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) 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) GermanyGermany GESIS Panel and SOEP-IS submissions and corresponding publications (i.e., journal articles, book chapters, working papers, preprints, doctoral theses, conference papers, etc.) Longitudinal (panel study)Longitudinal (panel study) Successfully accepted study submissions to the GESIS Panel or SOEP-IS, fielded between 2013 and 2021Successfully accepted study submissions to the GESIS Panel or SOEP-IS, fielded between 2013 and 2021 Content AnalysisContent Analysis Free access (with registration) - The research data can be downloaded by registered users.Freier Zugang (mit Registrierung) - Die Forschungsdaten können von allen registrierten Nutzerinnen und Nutzern heruntergeladen werden. http://dbkapps.gesis.org/dbkoai/oai.asp oai:dbk.gesis.org:SDN/10.7802_2942 2025-10-14 ddi:codebook:2_5