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GESIS Search
Find information about social science research data, publications on research data as well as open access publications.
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Contact: suche@gesis.org
The GESIS Library is a special library for Empirical Social Research and Applied Computer Science. It is available to external users as a reference library in Cologne and Mannheim.
The cooperation with the Research Data Center Education at the DIPF enables us to show you also hits on measurement instruments in the field of educational research. The measurement instruments documented there can be used free of charge for non-commercial purposes.
The cooperation with the Open Test Archive at the Leibniz Institute of Psychology (ZPID) enables us to show you also hits on measurement instruments in the field of psychology and related disciplines. The measurement instruments documented there are protected by copyright and are made available free of charge ("Open Access") for use in research, teaching and practice under a Creative Commons license.
GESIS, Cologne. Data File Version 1.0.0, https://doi.org/10.7802/2800
Abstract: Im Rahmen des Projekts BioWaWi, gefördert durch das BMBF, wurde eine Umfrage unter öffentlichen Wasserversorgern in Deutschland durchgeführt, um deren Praktiken zur Förde ... more
Abstract: Im Rahmen des Projekts BioWaWi, gefördert durch das BMBF, wurde eine Umfrage unter öffentlichen Wasserversorgern in Deutschland durchgeführt, um deren Praktiken zur Förde ... more
Availability: Free access (without registration)
License: CC BY 4.0: Attribution (https://creativecommons.org/licenses/by/4.0/deed.de)
Subject area: [Ecology, Environment]
Topics: water management, biodiversity, environmental management, ecology, sustainability, ecological system, conservation, survey, enterprise, eco-auditing
Date(s) of Data Collection: 2023-01; 2023-07
Geographic coverage: [Germany / DE]
Universe: Öffentliche Wasserversorger in Deutschland
Sampling Procedure: Non-probability Sample
Temporal Research Design: cross-section
Mode of Data Collection: Self-administered questionnaire:CAWI(Computer-assisted web interviewing)
Primärforschende, Institution: Lehr, Christian; Universität Potsdam, Krehl, Alice; Universität Potsdam, Digiacomo, Flavia; Karlsruher Institut für Technologie (KIT), Norra, Stefan; Universität Potsdam
Publication year: 2025
DOI: 10.7802/2800
Study number: SDN-10.7802-2800
Contributor, Institution, Role: [Digiacomo, Flavia; Karlsruher Institut für Technologie (KIT) (Data Manager) [=] Norra, Stefan; Universität Potsdam (Project Leader) [=] Frankenbach, Julius; Senckenberg Gesellschaft für Naturforschung (Data Curator) [=] Krehl, Alice; Universität Potsdam (Work Package Leader)]
Project funder: Bundesministerium für Bildung und Forschung - BMBF
Publisher: GESIS, Cologne
Current Version: 1.0.0, https://doi.org/10.7802/2800
Version history:
Version number | Changes in this version |
---|---|
1.0.0 (aktuelle Version) | 2025-01-28 https://doi.org/10.7802/2800 |
Publications: Lehr, C., Krehl, A., Digiacomo, F. & Norra, S. (2025). Praktiken öffentlicher Wasserversorger in Deutschland zur Förderung von Biodiversität und Ökosystemleistungen in Wasserschutzgebieten. Zenodo. https://doi.org/10.5281/zenodo.14767964.
Downloads
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- Questionnaires
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- Methods report
Purpose of use:
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Downloads:
Datensatz_v1-0-0.RDS
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MD5: | 26df9770420145259570725fc34f760e |
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Type of file: | Research Data |
File size: | 12.35 KB |
Version number: | 1.0.0 |
Version date: | 2025-01-27 |
Language: | German / de |
Number of variables: | 72 |
Number of units: | 108 |
Software and Version | R version 4.4.2 (Pile of Leaves) |
Downloads:
Fragebogen_v1-0-0.pdf
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MD5: | 33709a4b1001afd8c1a2925918b3b5b5 |
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Type of file: | Questionnaire |
File size: | 247.23 KB |
Version number: | 1.0.0 |
Version date: | 2025-01-27 |
Language: | German / de |
Downloads:
Codebuch_v1-0-1.pdf
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MD5: | 6694def939892b4a99b05a6d65e5dbb1 |
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Type of file: | Codebook |
File size: | 167.12 KB |
Version number: | 1.0.1 |
Version date: | 2025-03-05 |
Language: | German / de |
Additional information about the file | Dieses aktualsierte Codebook steht seit 06.03.2025 zum Download zur Verfügung. |
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Methodenbericht_v1-0-1.pdf
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MD5: | 58ddc1eb4d23d4c93bb6a47fff25b10b |
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Type of file: | Methods Report |
File size: | 224.7 KB |
Version number: | 1.0.1 |
Version date: | 2025-03-05 |
Language: | German / de |
Additional information about the file | Dieser aktualsierte Methodenbericht steht seit 06.03.2025 zum Download zur Verfügung. |
Replication data and code: Invitation Messages for Business Surveys: A Multi-Armed Bandit Experiment
GESIS, Cologne. Data File Version 1.0.0, https://doi.org/10.7802/2836
Abstract: This replication package contains the experimental data and code from a study investigating how elements of a survey invitation message targeted to businesses influence t ... more
Abstract: This replication package contains the experimental data and code from a study investigating how elements of a survey invitation message targeted to businesses influence t ... more
Availability: Free access (without registration)
Subject area: [Business Administration]
Topics: methodological research, enterprise
Date(s) of Data Collection: 2022-08-16; 2022-11-25
Geographic coverage: [Germany / DE]
Universe: All legal entities active in Germany as defined by the Federal Statistical Office in the statistical business register
Sampling Procedure: Probability Sample - Simple random Sample
Temporal Research Design: Longitudinal (panel study)
Mode of Data Collection: Self-administered questionnaire:CASI(Computer-assisted Self-interview)
Primärforschende, Institution: Gaul, Johannes J.; ZEW, University of Mannheim, NeSt, Keusch, Florian; University of Mannheim, Rostam-Afschar, Davud; University of Mannheim, IZA, GLO, NeSt, Simon, Thomas; University of Mannheim
Publication year: 2025
DOI: 10.7802/2836
Study number: SDN-10.7802-2836
Project funder: Collaborative Research Center (SFB/TRR) Project-ID 403041268 – TRR 266 Accounting for Transparency
Publisher: GESIS, Cologne
Current Version: 1.0.0, https://doi.org/10.7802/2836
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GKRS_ReplicationPackage.zip
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MD5: | 76724f582ffd10d559c1196b5ed8fda0 |
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Type of file: | Research Data |
File size: | 34.31 MB |
Language: | English / en |
Source | German Business Panel |
Software and Version | Python (environment provided), Jupyter, and Stata (version 17 or higher) |
Additional information about the file | This replication package contains the data and code used to conduct the analysis in "Invitation Messages for Business Surveys: A Multi-Armed Bandit Experiment" by Johannes J. Gaul, Florian Keusch, Davud Rostam-Afschar, and Thomas Simon. It also contains a description of the variables in the dataset. |
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Invitation_Message_Alternatives.pdf
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MD5: | 9bd07197462fbb5c43a61a9f3cd62a42 |
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Type of file: | Questionnaire |
File size: | 174.19 KB |
Language: | German / de,English / en |
Source | German Business Panel |
Additional information about the file | Excerpt from the questionnaire: For the purpose of the experiment, five invitation message characteristics that are potentially relevant for influencing survey starting rates in voluntary business surveys are varied. By compiling all combinations of these characteristics, 32 distinct invitation message alternatives. are generated. This file summarizes the five distinct message treatments that generate the experimental variation. |
German Institute for Economic Research (DIW Berlin). Data File Version 1.0.0, https://doi.org/10.25652/diw_data_S0025.1
Abstract: Das DIW Berlin untersucht jährlich die Repräsentation von Frauen in Vorständen und Geschäftsführungen sowie in Aufsichts- und Verwaltungsräten der größten Unternehmen in ... more
Abstract: Das DIW Berlin untersucht jährlich die Repräsentation von Frauen in Vorständen und Geschäftsführungen sowie in Aufsichts- und Verwaltungsräten der größten Unternehmen in ... more
Availability: Restricted Access
Subject area: Economics
Topics: Gender, Arbeit und Beschäftigung, Arbeit, Vorstand, Unternehmen, Weibliche Führungskräfte, Gemischtwirtschaftliches Unternehmen, Aufsichtsrat, Bank, Versicherung, Mitgliederstruktur, bank, gender, gender mainstreaming, board of directors, employment situation, supervisory board, insurance business, strategic management, proportion of women, quota, public enterprise, mixed ownership company
Date(s) of Data Collection: 2015; 2024
Geographic coverage: Germany / DE
Universe: 200 umsatzstärksten Unternehmen in Deutschland außerhalb des Finanzsektors (Top-200 Unternehmen), alle im Deutschen Aktienindex DAX gelisteten Unternehmen (DAX Unternehmen), die vier DAX-Untergruppen (DAX-30/40, MDAX, SDAX und TecDax), alle Unternehmen mit Bundesbeteiligung, die 100 größten Banken, die 60 größten Versicherungen
Sampling Procedure: Total Universe / Complete enumeration
Temporal Research Design: Time series
Notes: Zugang erfolgt als Scientific Use File (SUF). Anträge können über das Formular an das FDZ-BO am DIW Berlin gerichtet werden.
Zitation: Wrohlich, Katharina; Sondergeld, Virginia. 2023. Managerinnen-Barometer. Wellen 2015 - 2024. Version 1. FDZ-BO am DIW Berlin. DOI:10.25652/diw_data_S0025.1
Zitation: Wrohlich, Katharina; Sondergeld, Virginia. 2023. Managerinnen-Barometer. Wellen 2015 - 2024. Version 1. FDZ-BO am DIW Berlin. DOI:10.25652/diw_data_S0025.1
Primärforschende, Institution: Wrohlich, Katharina; DIW Berlin, Sondergeld, Virginia; DIW Berlin
Publication year: 2024
DOI: 10.25652/diw_data_S0025.1
Study number: SDN-10.25652-diw_data_S0025.1
Project funder: Eigenmittel
Publisher: German Institute for Economic Research (DIW Berlin)
Current Version: 1.0.0, https://doi.org/10.25652/diw_data_S0025.1
Downloads
- Codebook
- Other documents
Note:
Access to this dataset will be granted only for scientific purposes upon request. Attribution is required. Redistribution is not allowed.
Please request access by email: Request access.
As soon as your request has been approved, you can log in and download the data here.
Downloads:
Access to this dataset will be granted only for scientific purposes upon request. Attribution is required. Redistribution is not allowed.
Please request access by email: Request access.
As soon as your request has been approved, you can log in and download the data here.
Downloads:
Method_Report_and_Codebook_for_the_Waves_2015-2024.pdf
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MD5: | c03b85869980fdef3a2fd0d4c0df14bf |
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Type of file: | Codebook |
File size: | 582.43 KB |
Version number: | 1 |
Version date: | 2024-04-03 |
Language: | English / en |
Methodenbericht_und_Codebuch_zu_den_Wellen_2015-2024.pdf
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MD5: | d31ad0056940c500f74c7b14d20f895a |
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Type of file: | Codebook |
File size: | 584.63 KB |
Version number: | 1 |
Version date: | 2024-04-03 |
Language: | German / de |
Note:
Access to this dataset will be granted only for scientific purposes upon request. Attribution is required. Redistribution is not allowed.
Please request access by email: Request access.
As soon as your request has been approved, you can log in and download the data here.
Downloads:
Access to this dataset will be granted only for scientific purposes upon request. Attribution is required. Redistribution is not allowed.
Please request access by email: Request access.
As soon as your request has been approved, you can log in and download the data here.
Downloads:
Antrag_auf_Datenbereitstellung_FDZBO.docx
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MD5: | 72ede38c6d3ea69fb45298621ab042c1 |
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Type of file: | Other Documents |
File size: | 36.48 KB |
Version number: | 1 |
Version date: | 2024-04-03 |
Language: | German / de |