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Find information about social science research data, publications on research data as well as open access publications.
Links between contents are displayed directly in the hit list. For example, you can find matching publications to the research data found.
The results can be filtered quickly and conveniently according to the following categories:
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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/10.7802/2641
Abstract: Stata module that implements Potter's (1990) weight distribution approach to trim extreme sampling weights. The basic idea is that the sampling weights are assumed to fol ... more
Abstract: Stata module that implements Potter's (1990) weight distribution approach to trim extreme sampling weights. The basic idea is that the sampling weights are assumed to fol ... more
Availability: Free access (without registration)
License: GNU General Public License v3.0
Subject area: [Other Fields of the Applied Social Sciences]
Primärforschende, Institution: Lang, Sebastian; DZHW, Klein, Daniel; DZHW
Publication year: 2023
DOI: 10.7802/2641
Study number: SDN-10.7802-2641
Publisher: GESIS, Cologne
Current Version: 1.0.0, https://doi.org/10.7802/2641
Publications: Lang, S., & Klein, D. (2023). WGTDISTRIM: Stata module to trim extreme sampling weights. Available from https://github.com/se-lang/wgtdistrim
GESIS, Cologne. Data File Version 1.0.0, https://doi.org/10.7802/2530
Other Title (type): Evaluation der KEA-Mod Plattform (Alternative title)
Abstract: Im Forschungsprojekt KEA-Mod stand das Ziel im Vordergrund, die Qualität der Lehre in Veranstaltungen mit Fachbezug zur grafischen Modellierung in der (Wirtschafts-) Info ... more
Abstract: Im Forschungsprojekt KEA-Mod stand das Ziel im Vordergrund, die Qualität der Lehre in Veranstaltungen mit Fachbezug zur grafischen Modellierung in der (Wirtschafts-) Info ... more
Availability: Free access (without registration)
Subject area: [Curriculum, Teaching, Didactics [=] Teachers, Students, Pupils [=] Business information systems]
Date(s) of Data Collection: 2022-01-10; 2022-03-25, 2022-06-27; 2022-07-15, 2022-12-12; 2022-12-19
Geographic coverage: [Germany / DE]
Universe: Studierende, die die zu evaluierende Software zuvor im Rahmen einer Lehrveranstaltung genutzt haben
Sampling Procedure: Non-probability Sample - Respondent-assisted Sample
Temporal Research Design: Longitudinal (cohort study/event-based)
Mode of Data Collection: Self-administered questionnaire
Primärforschende, Institution: Soyka, Chantal; Universität Paderborn, Schaper, Niclas; Universität Paderborn
Publication year: 2023
DOI: 10.7802/2530
Study number: SDN-10.7802-2530
Contributor, Institution, Role: [Deutsches Forschungszentrum für Künstliche Intelligenz (Data Collector) [=] Striewe, Michael; Universität Duisburg-Essen (Data Collector) [=] Ullrich, Meike; Karlsruher Institut für Technologie (Data Collector)]
Project funder: Bundesministerium für Bildung und Forschung
Publisher: GESIS, Cologne
Current Version: 1.0.0, https://doi.org/10.7802/2530
