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| Module code: HEB-16 |
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4S (4 hours per week) |
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5 |
| Semester: 4 |
| Mandatory course: yes |
Language of instruction:
German |
Assessment:
Term paper, 15 - 20 pages, graded
[updated 26.10.2026]
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HEB-16 (P311-0154) Midwifery Science, Bachelor, regulation 01.10.2021
, semester 4, mandatory course
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60 class hours (= 45 clock hours) over a 15-week period. The total student study time is 150 hours (equivalent to 5 ECTS credits). There are therefore 105 hours available for class preparation and follow-up work and exam preparation.
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Recommended prerequisites (modules):
HEB-1
[updated 06.07.2025]
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Recommended as prerequisite for:
HEB-21 HEB-32
[updated 06.07.2025]
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Module coordinator:
Prof. Dr. Barbara Cattarius |
Lecturer: Prof. Dr. Barbara Cattarius
[updated 06.07.2025]
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Learning outcomes:
Overall qalification objectives: Q4, Q9, Q10, Q11 After successfully completing this module, students will: - Be able to describe and explain various social science research methods and their terminology. - Have gained an understanding of the importance of research for midwifery practice and professional development. - Be able to understand, evaluate, and plan research processes based on qualitative and quantitative studies. - Be able to identify quantitative and qualitative research methods and explain the methods used to analyze the corresponding data. - Be able to develop specific research questions and hypotheses, derive initial theories, and outline possible methods for testing them. - Be able to take ethical considerations into account in research and be familiar with the relevant laws and regulations. - Be able to present and discuss research findings both orally and in writing.
[updated 26.10.2026]
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Module content:
- Qualitative and quantitative research methods - Analyzing research design, data analysis, and data interpretation in specific studies - Methods of social science research and their nomenclature - Quantitative and qualitative methods - Quality criteria of quantitative and qualitative research - Introduction to data management, data processing, and data analysis: Univariate and bivariate analyses, descriptive statistics, inferential statistics, regression, correlation - Creating hypotheses and theories - Research ethics
[updated 26.10.2026]
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Teaching methods/Media:
Presentations, group work, coursework, use of digital learning programs, quizzes
[updated 26.10.2026]
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Recommended or required reading:
Bühner, M., & Ziegler, M. (2017). Statistik für Psychologen und Sozialwissenschaftler. Pearson, 2. aktual. Aufl. Chalmers, A. (2007): Wege der Wissenschaft, Springer Verlag, Berlin Heidelberg Döring, N., Bortz, J.: Forschungsmethoden und Evaluation in den Sozial- und Humanwissenschaften. Berlin, Heidelberg: Springer Schnell, M.W., Heinritz, C.: Forschungsethik. Bern: Hans Huber Voigt-Radloff, S., Stemmer, R., Behrens, J., Horbach, A., Ayerle, G. M., Schäfers, R., ... & Braun, C. (2016). Forschung zu komplexen Interventionen in der Pflege- und Hebammenwissenschaft und in den Wissenschaften der Physiotherapie, Ergotherapie und Logopädie: ein forschungsmethodischer Leitfaden zur Ermittlung, Evaluation und Implementation evidenzbasierter Innovationen. Cochrane Deutschland, Universitätsklinikum Freiburg. (frei verfügbar) The literature will be updated by the instructor for the course.
[updated 26.10.2026]
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