Publications
217 Übereinstimmungen gefunden / 1-15 16-30 31-45 46-60 61-75 76-90 91-105 106-120 121-135 136-150 151-165 166-180 181-195 196-210 211-217
Examining the link between the ‘middle means typical’ heuristic and answer behavior.Stefkovics, Á., & Höhne, J. K. (2024).Examining the link between the ‘middle means typical’ heuristic and answer behavior. Survey Practice (online first). https://doi.org/10.29115/SP-2024-0009 |
Sharing software-evolution datasets: Practices, challenges, and recommendations.Broneske, D., Kittan, S., & Krüger, J. (2024).Sharing software-evolution datasets: Practices, challenges, and recommendations. In Association for Computing Machinery (Hrsg.), Proceedings of the ACM on Software Engineering (S. 2051-2074). New York, NY, United States: ACM. https://doi.org/10.1145/3660798 |
Status Quo: Legasthenie oder Dyskalkulie im Tertiärbereich Studium.Schmidtchen, H. (2024).Status Quo: Legasthenie oder Dyskalkulie im Tertiärbereich Studium. Wiesbaden: Springer VS. https://doi.org/10.1007/978-3-658-45083-0 |
Differenzierungen von Arbeitsmarkt- und Bildungserträgen bei Hochqualifizierten. Quantitative Unterschiede zwischen Hochschulabsolvent*innen mit und ohne Promotion.Euler, T. (2024).Differenzierungen von Arbeitsmarkt- und Bildungserträgen bei Hochqualifizierten. Quantitative Unterschiede zwischen Hochschulabsolvent*innen mit und ohne Promotion. (Dissertation). Gottfried Wilhelm Leibniz Universität, Hannover. http://dx.doi.org/10.15488/17591 |
Exploiting shared sub-expression and materialized view reuse for multi-query optimization.Gurumurthy, B., Bidarkar, V. R., Broneske, D., Pionteck, T., & Saake, G. (2024).Exploiting shared sub-expression and materialized view reuse for multi-query optimization. Information Systems Frontiers, A Journal of Research and Innovation. https://doi.org/10.1007/s10796-024-10506-w |
A design proposal for a unified B-epsilon-tree: Embracing NVM in memory hierarchies.Karim, S., Wünsche, J., Broneske, D., Kuhn, M., & Saake, G. (2024).A design proposal for a unified B-epsilon-tree: Embracing NVM in memory hierarchies. In Störl, U. (Hrsg.), GvDB 2024, Grundlagen von Datenbanken 2024, Proceedings of the 35th GI-Workshop Grundlagen von Datenbanken (Herdecke, Germany, May 22-24, 2024) (S. 43-50). Hagen: Fernuniversität Hagen, Databases and Information Systems. |
Typing or speaking? Comparing text and voice answers to open questions on sensitive topics in smartphone surveys.Höhne, J. K., Gavras, K., & Claaßen, J. (2024).Typing or speaking? Comparing text and voice answers to open questions on sensitive topics in smartphone surveys. Social Science Computer Review (online first). https://doi.org/10.1177/08944393231160961 |
Nacaps 2018.Briedis, K., Lietz, A., Ruß, U., Schwabe, U., Seifert, M., ... & Hoffstätter, U. (2024).Nacaps 2018. Daten- und Methodenbericht zur National Academics Panel Study 2018 (1.-4. Befragungswelle – Promovierende). Hannover: DZHW. https://doi.org/10.21249/DZHW:nac2018:2.0.0 Abstract
Nacaps, the National Academics Panel Study, is a new longitudinal study of doctoral candidates and doctorate holders in Germany funded by the Federal Ministry of Education and Research (BMBF). The project aims at providing nationwide cross-sectional and longitudinal data on doctoral candidates and doctorate holders in Germany regarding their study conditions as well as their career trajectories within and outside of academia. The Nacaps study series apply a panel design to multiple cohorts. Nacaps 2018 is the first cohort in this series of studies. In 2019, all doctoral candidates registered at 53 higher education institutions [...] Full Abstract: https://doi.org/10.21249/DZHW:nac2018:2.0.0 |
Langzeitarchivierung von Forschungsdaten.Hoffstätter, U., & Weber, A. (2024).Langzeitarchivierung von Forschungsdaten. Hannover: DZHW. https://doi.org/10.5281/zenodo.10418834 |
A pilot study for " Linked Open Research Data " (LORDpilot): a LOD-based Concept Registry for social science research data.Daniel, A., Goebel, J., Kern, D., Klein, D., May, A., ... & Zapilko, B. (2024).A pilot study for "Linked Open Research Data" (LORDpilot): a LOD-based Concept Registry for social science research data. Joint final report to the Project (public part). Hannover: DZHW. Abstract
Reusing research data is an important part of research practice in the social and economic sciences. To find suitable data, researchers need functional search options. However, a comprehensive search for data is hampered by inconsistent or missing semantic indexing because different survey programs use their own terminology for documentation. In most cases, there is no link between the measured theoretical concepts and the variables. From the user's perspective, the fragmentation of data documentation hampers data retrieval and thus limits the research potential of existing data. The challenge, therefore, lies in the concept-oriented indexing of data. [...] Full Abstract: https://zenodo.org/records/11047523 |
Migration als Gesellschaftsaufgabe. Teilhabe- und Repräsentationsverhältnisse aus einer postmigrantischen Perspektive.İkiz-Akıncı, D., & Foroutan, N. (2024).Migration als Gesellschaftsaufgabe. Teilhabe- und Repräsentationsverhältnisse aus einer postmigrantischen Perspektive. In S. Bostancı & E. Ilgün-Birhimeoğlu (Hrsg.), Elementarpädagogik in der postmigrantischen Gesellschaft. Theoretische und empirische Zugänge zu einer rassismuskritischen Pädagogik (S. 12-32). Weinheim: Beltz Juventa. |
Die Studierendenbefragung in Deutschland 2021. Daten- und Methodenbericht zur Erhebung.
Die Studierendenbefragung in Deutschland 2021. Daten- und Methodenbericht zur Erhebung. Hannover: DZHW. Abstract
"The Student Survey in Germany" (2021) is a newly designed study that integrates three previously separate student surveys (Beuße et al., 2022): the Social Survey (Middendorff et al., 2017; Middendorff & Wallis, 2023), the Student Survey (Multrus et al., 2017; Multrus, 2021) and the survey "best - Studying with impairments" (Poskowsky et al., 2018; Unger et al., 2012). The study is designed as a cross-sectional survey with a long-term character. The new, integrated student survey thus continues the long tradition of the Social Survey and the Student Survey as important cross-sectional long-term observation studies for describing and analysing higher education and the student [...] Full Abstract: https://doi.org/10.21249/DZHW:sid2021:1.0.0 |
A case study on the development of the German Corona-Warn-App.Fawaz Enaya, M., Klingbeil, T., Krüger, J., Broneske, D., Feinbube, F., & Saake, G. (2024).A case study on the development of the German Corona-Warn-App. Journal of Systems and Software. https://doi.org/10.1016/j.jss.2024.112020 |
VORAUS: Etablierte Formate der Qualitätssicherung weiterentwickeln: Auf welche VORbehalte und Einverständnisse trifft eine teil-randomisierte AUSwahl von Forschungsprojekten im wissenschaftlichen Feld?Johannsen, J., Philipps, A., Barlösius, E., & İkiz-Akıncı, D. (2024).VORAUS: Etablierte Formate der Qualitätssicherung weiterentwickeln: Auf welche VORbehalte und Einverständnisse trifft eine teil-randomisierte AUSwahl von Forschungsprojekten im wissenschaftlichen Feld? Daten- und Methodenbericht zum Datenpaket der qualitativen Teilstudie des Projekts VORAUS. Hannover: DZHW. https://doi.org/10.21249/DZHW:vorausquali:1.0.0 Abstract
he project "VORAUS: Further developing established quality assurance formats: Which VORreservations and consensuses does a partially randomised SELECTION of research projects encounter in the scientific field?" was funded by the BMBF from April 2019 to March 2022. The study investigated reservations and consensus in the scientific field regarding partial randomisation. On this basis, it was clarified what is currently considered appropriate in science. Prior to a quantitative survey on the topic, the data from which is also available as a data package (DOI: https://doi.org/10.21249/DZHW:vorausquanti:1.0.0), problem-centred interviews were conducted with [...] Full Abstract: https://doi.org/10.21249/DZHW:vorausquali:1.0.0 |
Knowledge distillation for quantized vehicle sensor data.Vox, C., Niemann, O., Broneske, D., Piewek, J., Sass, A. U., & Saake, G. (2024).Knowledge distillation for quantized vehicle sensor data. In IEEE Institute of Electrical and Electronic Engineers (Hrsg.), 2023 International Conference on Machine Learning and Applications (ICMLA) (S. 908-915). Jacksonville, Florida, USA: IEEE. https://doi.org/10.1109/ICMLA58977.2023.00134 |
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