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Studienbezogene Auslandsmobilität von inländischen Studierenden an deutschen Hochschulen.

Völk, D., Kroher, M., Koopmann, J., & Becker, K. (2023).
Studienbezogene Auslandsmobilität von inländischen Studierenden an deutschen Hochschulen. In DAAD & DZHW (Hrsg.), Wissenschaft weltoffen 2023. Daten und Fakten zur Internationalität von Studium und Forschung weltweit (S. 82-87). Bielefeld: wbv Media. https://doi.org/10.3278/7004002vw

Guideline Impact Factor – A new indicator to assess journals cited in medical guidelines.

Aman, V., & Sorgatz, N. (2023).
Guideline Impact Factor – A new indicator to assess journals cited in medical guidelines. 27th International Conference on Science, Technology and Innovation Indicators (STI 2023). https://doi.org/10.55835/644169a0565e92f0541abf8d

Qualitätsverständnis von Governance und Organisation.

Kleimann, B. (2023).
Qualitätsverständnis von Governance und Organisation. In T. Betz, T. Feldhoff, P. Bauer, U. Schmidt, & S.-H. Bernhard (Hrsg.), Handbuch Qualität in pädagogischen Feldern. Wiesbaden: Springer VS (online first). https://doi.org/10.1007/978-3-658-40471-0_32-1

Distinguishing articles in questionable and non-questionable journals using quantitative indicators associated with quality.

Stephen, D. (2023).
Distinguishing articles in questionable and non-questionable journals using quantitative indicators associated with quality. In L. Waltman, K. H. Lai, B. Murat, J. Wang, V. Weimer, E. Noyons, & M. Luwel (Hrsg.), 27th International Conference on Science, Technology and Innovation Indicators (STI 2023). Leiden, Netherlands: orvium.io. https://doi.org/10.55835/644245cb8e703ddb4dc07eda

Pragmatische Tools oder kreativer Umgang? Qualitative Methoden in der anwendungsorientierten Hochschulforschung.

Behrmann, L., İkiz-Akıncı, D., & Rückamp, V. (2023).
Pragmatische Tools oder kreativer Umgang? Qualitative Methoden in der anwendungsorientierten Hochschulforschung. Forum Qualitative Sozialforschung 24(3). www.qualitative-research.net, https://doi.org/10.17169/fqs-24.3.3968 (Abgerufen am: 26.09.2023) (online first). https://doi.org/10.17169/fqs-24.3.3968

Skalenhandbuch Lehramtsstudierenden-Panel: Dokumentation des Erhebungsprogramms der LAP-Zusatzstudie zur NEPS-Längsschnittuntersuchung der Studienanfängerinnen und Studienanfänger des Wintersemesters 2010/2011 (NEPS-Startkohorte 5).

Ortenburger, A., Gäckle, S., Menge, C., & Franz, S. (2023).
Skalenhandbuch Lehramtsstudierenden-Panel: Dokumentation des Erhebungsprogramms der LAP-Zusatzstudie zur NEPS-Längsschnittuntersuchung der Studienanfängerinnen und Studienanfänger des Wintersemesters 2010/2011 (NEPS-Startkohorte 5). LIfBi Working Paper (111). Bamberg: Leibniz-Institut für Bildungsverläufe. https://doi.org/10.5157/LIfBi:WP111:1.0
Abstract

This publication documents all variables and constructs that were used to observe (prospective) teachers from the beginning of teacher training through the preparatory service and into the profession within the framework of the Student Teacher Panel (LAP). The LAP-study is closely linked to the Starting Cohort Students (SC5) of the National Educational Panel Study (NEPS). Since autumn 2014, the LAP project has not only been able to further incorporate the oversample of teacher trainees in the NEPS student cohort but also to integrate a teacher specific survey program into the SC5 surveys.

Hochschulen: Ein regionaler Wirtschaftsfaktor in Krisenzeiten.

Gwosć, C. (2023).
Hochschulen: Ein regionaler Wirtschaftsfaktor in Krisenzeiten. In T. Korn, J. Lempp, & G. van der Beek (Hrsg.), Wirtschaftsförderung in der Krise (S. 291-308). Wiesbaden: Springer Gabler. https://doi.org/10.1007/978-3-658-41390-3_17

Information intervention on long-term earnings prospects and the gender gap in major choice.

Peter, F., Schober, P., & Spiess, C. K. (2023).
Information intervention on long-term earnings prospects and the gender gap in major choice. European Sociological Review, 40(2), 258-275. https://doi.org/10.1093/esr/jcad055

Opportunities and challenges of higher education administrative data (HEAD) analysis: An empirical example from a large German university.

Bauer, V., Hönnige, C., & Jungbauer-Gans, M. (2023).
Opportunities and challenges of higher education administrative data (HEAD) analysis: An empirical example from a large German university. Qualität in der Wissenschaft. Zeitschrift für Qualitätsentwicklung in Forschung, Studium und Aministration, 17(2), 56-62.

Qualität in der Förderung von Early Career Researchers.

Jungbauer-Gans, M. (2023).
Qualität in der Förderung von Early Career Researchers. In T. Betz, T. Feldhoff, P. Bauer, U. Schmidt, & B. Schmidt-Hertha (Hrsg.), Handbuch Qualität in pädagogischen Feldern. Wiesbaden: Springer. https://doi.org/10.1007/978-3-658-40471-0_27-1

Optical image recognition strategy for keyword extraction and page ranking for slide recommendation system.

Obionwu, C. V., Abbas, S. M. L., Padmanabhan, V., Tiwari, T., Broneske, D., & Saake, G. (2023).
Optical image recognition strategy for keyword extraction and page ranking for slide recommendation system. In IEEE Institute of Electrical and Electronic Engineers (Hrsg.), 2023 3rd International Conference on Electrical, Computer, Communications and Mechatronics Engineering (ICECCME) (S. 1-6). Tenerife, Spain: IEEE. https://doi.org/10.1109/ICECCME57830.2023.10252423

A strategy for retrospective evaluation of students SQL learning engagements.

Obionwu, C. V., Kalu, K. O., Blockhaus, P., Broneske, D., & Saake, G. (2023).
A strategy for retrospective evaluation of students SQL learning engagements. In IEEE Institute of Electrical and Electronic Engineers (Hrsg.), 3rd International Conference on Electrical, Computer, Communications and Mechatronics Engineering (ICECCME 2023) (S. 1-7). Tenerife, Spain: IEEE. https://doi.org/10.1109/ICECCME57830.2023.10252347

Market selection and learning under model misspecification.

Bottazzi, G., Giachini, D., & Ottaviani, M. (2023).
Market selection and learning under model misspecification. Journal of Economic Dynamics and Control2023. https://www.sciencedirect.com/science/article/pii/S0165188923001458 (Abgerufen am: 12.09.2023).
Abstract

The paper explores market selection in an Arrow-Debreu economy with complete markets where agents learn over misspecified models. Standard Bayesian learning loses formal justification, and biased learning processes may provide a selection advantage. The ecology of traders in the market affects selection dynamics and long-run asset valuation. Model misspecification makes it difficult to rank learning behaviors based on survival prospects. Prediction averaging has an advantage when the true data generating process belongs to the same family of models, but this advantage disappears when the true model belongs to a more general class. Rules guaranteeing survival exploit imitative mechanisms.

Coping with work-related stressors: does education reduce work-related stress?

Schoger, L. (2023).
Coping with work-related stressors: does education reduce work-related stress? Journal of Public Health (online first). https://doi.org/10.1007/s10389-023-02070-5
Abstract

Work is a central area of human life, and work-associated stress can affect health over a long period of time. From a health sociological perspective, it was assumed in this paper that education as a resource is able to support the management of stress(ors) and thus has a positive impact on health. Data from the National Educational Panel Study (NEPS): Starting Cohort 6 – Adults, was used and a cross-sectional analysis was performed. Linear regression models were estimated to analyse the effect of stressors at the workplace on work-related stress. The results show that more well-educated people show a lower level of stress, net of stressors and additional controls.

What is research funding, how does it influence research, and how is it recorded? Key dimensions of variation.

Thelwall, M., Simrick, S., Viney, I., & van den Besselaar, P. (2023).
What is research funding, how does it influence research, and how is it recorded? Key dimensions of variation. Scientometrics , 128, 6085-6106.
Abstract

Evaluating the effects of some or all academic research funding is difficult because of the many different and overlapping sources, types, and scopes. It is therefore important to identify the key aspects of research funding so that funders and others assessing its value do not overlook them. This article outlines 18 dimensions through which funding varies substantially, as well as three funding records facets.

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