364-1020-01L Methods in Management Research: Methodological Fit in Management Research
| Semester | Frühjahrssemester 2023 |
| Dozierende | |
| Periodizität | jährlich wiederkehrende Veranstaltung |
| Lehrveranstaltung | Findet dieses Semester nicht statt. |
| Lehrsprache | Englisch |
| Kurzbeschreibung | This course covers available methodologies and research design in management research, measurement and validity issues, and a broad overview of the main quantitative and qualitative methods. Students will reflect on the fit between research question and research design in their own research field. | ||||||||||||||||||
| Lernziel | The course aims to support students in: • knowing basic quantitative and qualitative research methods • understanding what data each method needs and what outcomes it can provide, as well as its advantages and disadvantages • understanding how to link a research question to an appropriate research design and method • acquiring a basic understanding of how each method works (e.g., which software to use) • having an idea of how to apply these methods to one's own research • having a group of peers to share ideas and feedback with | ||||||||||||||||||
| Inhalt | This course covers basic methodological topics relevant to research in the management field, including available methodologies (inductive, deductive) and research design (e.g., interviews, field survey, lab experiment, secondary data), the definition and measurement of constructs, validity, the choice of data collection and data analysis methods. A broad overview of the main quantitative (ANOVA, regression, path analysis, SEM, multilevel models, growth models) and qualitative methods (thematic analysis, grounded theory) currently used in management research will also be provided, together with a brief analysis of the advantages and disadvantages of each method. Topics related to research design, including pre-registration, power analysis, and data management, as well as level of analysis and temporal issues (in particular related to data collection) can also be discussed, depending on the interest of the class. Finally, the course will cover fit between research question, research design, and methods of data analysis. | ||||||||||||||||||
| Literatur | (Refer to Syllabus and Moodle) | ||||||||||||||||||
| Voraussetzungen / Besonderes | Students should: (1) Be able to read and understand academic papers, including both empirical papers and method papers, to facilitate and actively participate to the class discussions; (2) Download SPSS and R + R Studio before the course to be able to conduct hands-on exercises in class; (3) complete a short survey that the instructor will share before the course, with he goal of optimising course organisation. | ||||||||||||||||||
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