Publications
206 Übereinstimmungen gefunden / 1-15 16-30 31-45 46-60 61-75 76-90 91-105 106-120 121-135 136-150 151-165 166-180 181-195 196-206
VerbCraft: Morphologically-aware Armenian text generation using LLMs in low-resource settings.Avetisyan, H., & Broneske, D. (2025).VerbCraft: Morphologically-aware Armenian text generation using LLMs in low-resource settings. In ¦. A. Holdt, N. Ilinykh, B. Scalvini, M. Bruton, I. N. Debess, & C. M. Tudor (Hrsg.), Proceedings of the Third Workshop on Resources and Representations for Under-Resourced Languages and Domains (RESOURCEFUL-2025) (S. 111-119). Tallinn: University of Tartu Library, Estonia. |
Trendumfrage Forschungsdateninfrastrukturen 2024.Hartstein, J., Blümel, C., & Klein, D. (2025).Trendumfrage Forschungsdateninfrastrukturen 2024. Daten- und Methodenbericht. Hannover: DZHW. Abstract
The Trend Survey Research Data Infrastructures 2024 is part of the accompanying research of the Basic Services for the National Research Data Infrastructure (Base4NFDI). The trend survey captures the perception, use and evaluation of established and new data infrastructures and services in the German research landscape. The focus in on the perspective of (potential) users. |
Stata tip 160: Drop capture program drop from ado-files.Klein, D. (2025).Stata tip 160: Drop capture program drop from ado-files. The Stata Journal, 2025(1), 252-253. https://doi.org/10.1177/1536867X251322974 Abstract
I explain that -capture program drop- is useless in ado-files. While it prevents errors in do-files when redefining programs in memory, it either isn't executed or results in an error in ado-files. Moreover, in ado-files with local subroutines, -capture program drop- can mistakenly remove unrelated programs from memory. |
Tell me more! Using multiple features for binary text classification with a zero-shot model.Broneske, D., Italiya, N., & Mierisch, F. (2025).Tell me more! Using multiple features for binary text classification with a zero-shot model. In IEEE (Hrsg.), 2024 International Conference on Machine Learning and Applications (ICMLA) (S. 1613-1620). Jacksonville, Florida, USA: IEEE Xplore. https://doi.org/10.1109/ICMLA61862.2024.00249 |
The standardized data management plan for educational research, an approach to foster tailored data management.Netscher, S., Kaluza, H., Mauer, R., Mozygemba, K., & Stephan, K. (2025).The standardized data management plan for educational research, an approach to foster tailored data management. International Journal of Digital Curation, 2025(1). https://doi.org/10.2218/ijdc.v19i1.910 |
DZHW Scientists Survey 2023. Data and methods report on the DZHW Scientists Survey 2023.Fabian, G., Heger, C., Just, A., Weber, A., & Oestreich, T. (2025).DZHW Scientists Survey 2023. Data and methods report on the DZHW Scientists Survey 2023. Hannover: DZHW. https://doi.org/10.21249/DZHW:scs2023-dmr-en:1.0.1 Abstract
The DZHW Scientists Survey 2023 is an online survey of full-time academic and artistic staff at German universities and equivalent institutions of higher education with the right to award doctorates. It is repeated at regular intervals as a trend study to explore the working and research conditions at German universities and equivalent institutions of higher education. The DZHW Scientists Survey 2023 was conducted from January to March 2023. The respondents therefore take a retrospective look at their working and research conditions during the Covid-19 pandemic and their current post-pandemic situation. The previous Scientists Surveys took place in 2010, 2016 and [..] Full Abstract: https://doi.org/10.21249/DZHW:scs2023:1.0.1 |
Explaining item-nonresponse in open questions with requests for voice responses.Salvatore, C., & Höhne, J. K. (2025).Explaining item-nonresponse in open questions with requests for voice responses. In A. Pollice & P. Mariani (Hrsg.), Methodological and Applied Statistics and Demography IV (S. 483-489). Cham: Springer. https://doi.org/10.1007/978-3-031-64447-4_82 |
Bots in web survey interviews: A showcase.Höhne, J. K., Claaßen, J., Shahania, S., & Broneske, D. (2025).Bots in web survey interviews: A showcase. International Journal of Market Research, 67(1), 3-12. https://doi.org/10.1177/14707853241297009 |
Automatic speech-to-text transcription: Evidence from a smartphone survey with voice answers.Höhne, J. K., Lenzner, T., & Claaßen, J. (2025).Automatic speech-to-text transcription: Evidence from a smartphone survey with voice answers. International Journal of Social Research Methodology (online first). https://doi.org/10.1080/13645579.2024.2443633 |
Integrating R into statistics and data analysis education: Learnings from the development and evaluation of a teaching concept for Communication Science.Scheper, J., Leuppert, R., Possler, D., Freytag, A., Bruns, S., & Niemann-Lenz, J. (2024).Integrating R into statistics and data analysis education: Learnings from the development and evaluation of a teaching concept for Communication Science. Journalism & Mass Communication Educator, 1-17. https://doi.org/10.1177/10776958241296505 Abstract
Despite the increasing use of the statistical programming language R in statistics and data analysis (SDA), its implementation in communication science education is limited. Experiences, recommendations, and a critical exchange are therefore scarce. The following contribution addresses this very gap. At the Department of Journalism and Communication Research of the Hanover University of Music, Drama and Media, we have transitioned the SDA education to R. We share our concept and demonstrate its success. The results of an online survey indicate that students perceived most teaching elements as helpful, recognizing both opportunities and challenges. We present key learnings designed to assist others in integrating R into SDA education. |
Berufungsverfahren unter Beobachtung (BerBeo). Daten- und Methodenbericht zum Datenpaket der qualitativen Interviewdaten des DZHW-Projekts BerBeo.Gerchen, A., Walther, L., & İkiz-Akıncı, D. (2024).Berufungsverfahren unter Beobachtung (BerBeo). Daten- und Methodenbericht zum Datenpaket der qualitativen Interviewdaten des DZHW-Projekts BerBeo. Hannover: DZHW. https://doi.org/10.21249/DZHW:berbeo-dmr:1.0.0 Abstract
The project Monotoring Appointment Procedures (BerBeo) is a research project funded by the Federal Ministry of Education and Research (BMBF) and carried out by the German Centre for Higher Education Research and Science Studies GmbH (DZHW). The project analysed (procedural) quality assurance in appointment procedures for professors at German (state) universities through officers for appointment procedures. Officers for appointment procedures are defined as persons who are responsible for the procedural quality assurance of appointment procedures for professors and – depending on the implementation of their position – may also perform other tasks to support the decision-making [...] Full Abstract: https://doi.org/10.21249/DZHW:berbeo:1.0.0 |
Leistungsbewertung in Berufungsverfahren. Traditionswandel in der akademischen Personalselektion. Daten- und Methodenbericht zu dem qualitativen Datenbestand der DZHW-Studie LiBerTas 2016.Kleimann, B., İkiz-Akıncı, D., & Hückstädt, M. (2024).Leistungsbewertung in Berufungsverfahren. Traditionswandel in der akademischen Personalselektion. Daten- und Methodenbericht zu dem qualitativen Datenbestand der DZHW-Studie LiBerTas 2016. Hannover: DZHW. https://doi.org/10.21249/DZHW:lib2016-dmr:2.0.0 Abstract
On the basis of an analysis of maximally contrasting cases (universities, disciplines), it was investigated how the change in the appointment procedure affects the relationship between the actors involved and their enactment of institutional logics. Eight universities and four universities of applied sciences with different profiles were selected for this purpose. The analysis focussed on the subjects of sociology/social sciences (universities and universities of applied sciences), mechanical engineering (universities and universities of applied sciences), physics (universities) and medicine (universities) in order to cover subject-specific differences (with regard to tasks, [...] Full Abstract: https://doi.org/10.21249/DZHW:lib2016:2.0.0 |
DZHW-Wissenschaftsbefragung 2023. Daten- und Methodenbericht zur DZHW-Wissenschaftsbefragung 2023.Fabian, G., Heger, C., Just, A., & Weber, A. (2024).DZHW-Wissenschaftsbefragung 2023. Daten- und Methodenbericht zur DZHW-Wissenschaftsbefragung 2023. Hannover: DZHW. https://doi.org/10.21249/DZHW:scs2023-dmr:1.0.0 Abstract
The DZHW Scientists Survey 2023 is an online survey of full-time academic and artistic staff at German universities and equivalent institutions of higher education with the right to award doctorates. It is repeated at regular intervals as a trend study to explore the working and research conditions at German universities and equivalent institutions of higher education. The DZHW Scientists Survey 2023 was conducted from January to March 2023. The respondents therefore take a retrospective look at their working and research conditions during the Covid-19 pandemic and their current post-pandemic situation. The previous Scientists Surveys took place in 2010, 2016 and 2019/2020. [...] Full Abstract: https://doi.org/10.21249/DZHW:scs2023:1.0.0 |
Das Zusammenspiel von Methodik und Forschungsethik in der Kommunikations- und Medienforschung.Zillich, A. F., Schlütz, D., Domahidi, E., & Niemann-Lenz, J. (2024).Das Zusammenspiel von Methodik und Forschungsethik in der Kommunikations- und Medienforschung. Publizistik, 69(3), 229-235 (online first). https://doi.org/10.1007/s11616-024-00852-9 |
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