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Qualitative Research Methods – Fall 2022 - 5 ECTS
Date and time
Tuesday 20 September 2022 at 09:00 to Friday 23 September 2022 at 16:00
Registration Deadline
Tuesday 20 September 2022 at 09:00
Location
Room TBA,
Campus TBA,
2000 Frederiksberg
Room TBA
Campus TBA
2000 Frederiksberg
Qualitative Research Methods – Fall 2022 - 5 ECTS
Event Description
Faculty | ||
Professor Torsten Ringberg, Department of Marketing, Copenhagen Business School. Professor Dr. Markus Reihlen, Institute of Management and Organization, Leuphana University of Lüneburg. |
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Course Coordinator |
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Professor Torsten Ringberg | ||
Prerequisites |
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This PhD seminar is for PhD students (regular and industrial) in business, organization, marketing, and management. However, students from other social science disciplines may also find this course relevant for developing a qualitative research approach. The two instructors bring with them extensive experiences with social science theories and how to extract relevant data using a range of methods, such as case-studies and semi-structured in-depth interviews. Both instructors have published in leading international academic journals. Qualitative research is a research strategy that emphasizes large bodies of unstructured data (textual, graphical, audio, and video data) that cannot be meaningfully analyzed by formal, statistical approaches. Despite differences, qualitative research approaches share at least the following two assumptions: (1) by systematically generating and analyzing data new theory can be discovered (inductive view), and (2) this theory stresses the understanding of the socio-cultural world through an examination of interpretations of that world by its participants. Since each particular research method is informed by different philosophical traditions, this course will first introduce different philosophical perspectives ranging from positivism to interpretivism and postmodernism. Students will then be introduced to various theoretical orientations within the interpretive paradigm and how each brings along certain epistemological assumptions as to the construction of meaning and representation of reality/ies a well as require unique methodological considerations. We will cover various qualitative approaches (e.g., grounded theory, action research, case studies, ZMET) and discuss their pros and cons given your particular research question. Whereas the case studies and participant observations represent a holistic approach, the ZMET semi-structured in-depth interview surfaces subconscious mindsets (mental models) that inform and motivate consumer sensemaking related to a given topic of interest within a given group or subculture of people under study. Qualitative methods provide the opportunity to gain new insights into exploring motivators of behavior which might lead to new theoretical insights. As part of the course students will be introduced to how to analyze the data through grounded theory (coding), which is a general method involving comparative analyses for qualitative data. The idea of the grounded theory is to code the text into meaningful themes that enable the identification of deep- seated socio-cultural models, propositions, assumptions and mid-range theories. The approach is primarily inductive, i.e., there is an interest in exploring topics pertaining to broader theoretical issues/dilemmas, but no prior hypotheses. The insights from qualitative research can, in addition to theory building, also be used to establish new hypotheses that can be tested quantitatively (surveys, experimentally etc.). As such, quantitatively oriented students might also benefit from this course. The qualitative data analysis is supported by different software packages (e.g., NVivo, Nudist, Atlas.ti, MAXQDA). Only Atlas.ti will be covered at a more general level. It is possible to download and install a training version of the software program Atlas.ti 9.0 and Atlast.ti Cloud at a discounted rate on your laptop computer. Link: https://atlasti.com/students/ Also, you can consult online tutorials for a more detailed coverage- see below links. The course represents a doctorate workshop. Throughout the course, initiatives, creativity, and critical thinking on part of the students will be appreciated and encouraged. |
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Aim |
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Course content |
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This year’s (2022) course at CBS is in person, as of now. You will be notified in case we have to convert to either a hybrid or online course due to imposed Covid-19 restrictions. The course requires preparation by students before each session as well as interaction with one or two other students in preparation for the course (a small presentation on an article (also, see below). Students are encouraged to debate their particular views, methodological problems, and research issues. |
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Teaching style |
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Instructors will cover core material in lectures and entice students to discuss core issues. Student will present their own as well as provide feedback to other students’ research proposals. |
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Lecture plan |
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9.00 – 12.00
Readings
Team activity: systematic comparison/discussion of background theories.
14.30 – 17.00
Readings
WEDNESDAY Sept 21 9.00 – 12.00
13.00 – 17.00
Readings
9.00 – 12.00 B) analysis of rich data based on grounded theory (codes, constructs, themes) Readings
Readings
14:00 – 17.00
FRIDAY Sept 23 09.00-12.00
B) How to do a review Readings
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Event Location
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