Mixed Methods Research




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Further and more detailed information, including the schedule, can be found in the current course tables in the syllabus of the respective course, if the course is offered in the next sessions. The following text serves as information on what can be expected in terms of content in the course.

Course content: The content is elaborated, day by day, in the section on structure. We will complete an inventory on philosophical/scientific and methodological beliefs, examine major paradigms in mixed methods research, compare qualitative, quantitative, and mixed methods (always including important scholars in the fields), examine multiple types of mixed methods research, learn how to write research questions that suggest the need for mixed methods research, examine major methods of data collection including between- and within mixing of well-known methods, learn about the “popular mixed methods designs” and how to construct better designs appropriate for your research questions and situation, learn about producing defensible/justifiable mixed methods research including major types of validity to be addressed in particular studies, learn how to move beyond quantitative and qualitative data analysis and conduct mixed methods data analysis including cross-over analysis, learn how to structure and write mixed methods proposals and manuscripts. Learning objectives: At the end of the course the student will be able to do the following: • Compare quantitative, qualitative, and mixed methods research. • Define and justify mixed methods research. • Explain the major kinds of mixed methods research. • Write research questions for mixed methods research studies. • Explain how to construct basic and advanced research designs in mixed methods research. • Explain the multiple kinds of data collection appropriate in mixed methods research. • Explain the major methodologies, theoretical frameworks, and paradigms popular in mixed methods research. • Explain sampling methods used in mixed methods research. • Explain how to produce high quality/justified mixed methods research, including the multiple kinds of validity. • Explain how mixed methods data analysis adds to traditional quantitative and qualitative data analysis, including cross-over analysis and integration. • Explain how to structure reports and articles in mixed methods research. • Explain how to publish and disseminate mixed methods research results