This course provides students with in-depth knowledge about planning, conducting and reporting an empirical mixed methods research project. In groups, students conduct a research project combining quantitative and qualitative methods. The focus is on the practical application of the methods introduced in the summer semester within the framework of a mixed-methods design. Further, in-depth methodological, theoretical and scientific-theoretical questions are discussed. Thematically, the content depends on the interests of the students.

After successful completion of this course, students will be able to:

• Develop an appropriate mixed methods, quantitative and qualitative research question
• Design a mixed methods research project
• Select the methodology and the methods based on their research purpose.
• Combine qualitative and quantitative methods fruitfully
• Coordinate phases of a research process
• Write a report on a research project
• Distinguish between different forms of presentation of scientific results
• Link the results of scientific projects to the state of the art

Lectures, discussions, student presentations, coaching, feedback

Students are expected to:

1. Participate in all courses (80% attendance)

2. Present quantitative papers 

3. Read and discuss literature on qualitative methods

4. Complete a mixed methods group project

Grading is based on your contributions:

1. In-class contribution    20 points (individual)
2. Exposé   10 points (group)
3. Quantitative paper presentations     10 points (group)
4. Qualitative methods discussions       10 points (group)
5. Interim and final presentations  20 points (group)
6. Final report    30 points (group)

Overall, 100 points can be reached. Minimum points for each grade are as follows:
 

      5    -
      4    61
      3    71
      2    81
      1    91

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This course builds on the introductory course to quantitative and qualitative methods in the summer term.

SEEP courses do not allow creation of assignments, exam answers or other assessed work using generative AI (e.g. ChatGPT).  All such work is expected to be the original work by the student concerned and is assessed as such.  Work copied from a generative AI source is equivalent to plagiarism and will be treated as such.