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Module code: AGW23.10 |
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4V+2U (6 hours per week) |
8 |
Semester: 3 |
Mandatory course: yes |
Language of instruction:
German |
Assessment:
Examination achievement
[updated 30.10.2023]
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AGW23.10 (P311-0278, P311-0279) Applied Health Sciences, Bachelor, ASPO 01.10.2023
, semester 3, mandatory course
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90 class hours (= 67.5 clock hours) over a 15-week period. The total student study time is 240 hours (equivalent to 8 ECTS credits). There are therefore 172.5 hours available for class preparation and follow-up work and exam preparation.
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Recommended prerequisites (modules):
AGW23.6 AGW23.9
[updated 04.09.2023]
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Recommended as prerequisite for:
AGW23.14 Care Management and Evidence-Based Practice AGW23.16
[updated 04.09.2023]
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Module coordinator:
Prof. Dr. Iris Burkholder |
Lecturer: Prof. Dr. Iris Burkholder Prof. Dr. Christine Dörge
[updated 04.09.2023]
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Learning outcomes:
Module 23.10.1: Qualitative Methods Learning outcomes: After successfully completing this module, students will: • be able to describe the interpretative paradigm as a research guiding thought model of qualitative social and health research • be familiar with the basic principles of qualitative social and health research. • be able to describe how to develop and work on a scientific problem. • be able to describe the steps required to conduct a qualitative-empirical study, use the appropriate data collection methods, and evaluate and interpret the results with regard to the research question. • be familiar with the criteria for the critical evaluation of qualitative research work. • be able to explain the main differences between various qualitative research methods. • be able to derive application-oriented qualitative research questions based on problems or questions from professional practice. • be able to justify the selection of appropriate procedures and methods within the qualitative research process necessary for answering a specific research question. • be able to apply survey and evaluation methods from qualitative health and social research. • be able to develop an interview guide and will have honed their methodological interviewing skills. • be able to critically evaluate a qualitative research paper using appropriate criteria. • be able to justify the relevance and usefulness of qualitative research in their professional fields of activity to others. • be able to present, justify and argue health science issues, approaches and research results to experts and laypersons. • show openness and tolerance towards other views and perspectives. • be willing to scientifically address application-oriented research questions from practice and to take research results into account in future professional activities 23.10.2. Quantitative Methods - Lecture Learning outcomes: After successfully completing this module, students will: • be able to describe the logic of the quantitative research process. • be able to explain the difference between experimental studies and observational studies. • be able to name the advantages and disadvantages of different selection and survey methods in quantitative research. • be able to explain the basic principles of generating hypotheses and operationalization. • be able to explain the significance of the p-value. • be able to recognize quantitative methods in publications. • be able to critically evaluate quantitative methods presented in scientific publications. • be able to derive correct interpretations based on the results of quantitative research. • be able to apply their methodological knowledge of quantitative research to specific research questions. • be able to apply the methods of inductive statistics to simple exercise examples and select the appropriate statistical test. • be able to critically reflect on aspects of research ethics in the context of the quantitative research process. 23.10.3.: Quantitative methods - Tutorial Learning outcomes: After successfully completing this module, students will: • be able to derive a quantitative research problem. • be able to apply a statistical software program exemplarily on the basis of a specific question and sample data sets. • be able to independently develop simple program-based solutions in the software. • be able to apply quantitative research methods and analytical techniques. • be able to present and explain research findings. • be able to present and discuss partial steps in their own research work • be able to give each other feedback on their research work
[updated 30.10.2023]
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Module content:
Module 23.10.1: Qualitative Methods • History and rationale of qualitative social and health research • Methodology and standards of qualitative social and health research • Questions and fields of application of qualitative social and health research • Development of a qualitative research question • Possibilities of field work • Survey methods for obtaining qualitative data (e.g. by means of interviews, observation, group discussion) • Data transcription • Evaluation and interpretation of qualitative data (e.g. by means of qualitative content analysis, grounded theory, documentary method) • Use of software for computer-aided data and text analysis • Documentation and presentation of qualitative research results • Mixed-methods approaches in health sciences • Quality criteria in qualitative research • Research ethics in social and health research • Critical examination of published qualitative study papers/results 23.10.2.: Quantitative Methods - Lecture Module content: 1. Research process/ethics 2. Study designs 3. Selection procedures 4. Methods of data collection 5. Generating statistical hypotheses, statistical tests 23.10.3.: Quantitative methods - Tutorial Module content: 1. Introduction to program-based statistical analysis software. 2. Data management 3. Data analysis 4. Reporting
[updated 30.10.2023]
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Teaching methods/Media:
Blended learning
[updated 30.10.2023]
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Recommended or required reading:
Will be announced at the beginning of the module.
[updated 30.10.2023]
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