1070025


Course
Qualitative Research Methods Seminar (Spring 2020)

Faculty

Professor Michel Avital
Associate Professor Daniel Souleles
Associate Professor  Thomas Frandsen
Associate Professor  Jawwad Raja
Professor Torkil Clemmensen


Course Coordinator
Michel Avital

Prerequisites

Pre-course Assignment 

In preparation for the seminar, please provide one page that describes your academic background and research interests. Please describe your guiding research questions, data sources, and research methodologies to the best of your ability, and add contact information and web address if available.  
Please upload your profile page in the designated Assignment section in Canvas no later than two weeks prior to the first class (24 February 2020).


Aim

The Qualitative Research Methods course is designed for doctoral students who are interested in pursuing qualitative research projects in the social sciences. A primary objective of the course is helping participants to acquire the necessary skills that will enable them to design, execute, report and critically review qualitative research in social sciences with an emphasis on business and management-related fields. Participants will gain foundational knowledge of qualitative research methods and discuss the considerations that go into the design of empirical studies employing such methods.


Course content

The course is designed as a sequence of 2 three-day blocks of extensive seminars, each covering a key topic on qualitative research methods in social sciences. The meetings are in the form of participatory seminars that comprise class presentations, directed discussions, and practical workshops. In addition to an appreciative and critical review of the extant literature on qualitative research methods, the seminars seek to encourage constructive dialogue aimed at helping students to tackle research questions in a qualitative fashion, which builds on and extends contemporary knowledge. 
The course requires a heavy reading load that is necessary to meet the aforementioned learning objectives. Reading the materials beforehand and participating actively in class dialogues are essential for getting a firm grasp of the course content. For each seminar, students should read the assigned articles or books, and be prepared to answer questions and discuss any other issues pertaining to the assigned reading material. Furthermore, for select seminars, we expect students to prepare a take-home assignment that will be discussed in the next class.

Teaching style

Conversation Starters


Each student should prepare and distribute prior to each session a one-page “conversation starter” that synthesizes the assigned readings and integrates personal insights thereof. The conversation starters are also an opportunity for students to position themselves in relation to the assigned readings and to raise issues and questions that can spark a debate related to the readings.

The conversation starters should be posted in the designated Assignment section in Canvas as prior to the session as indicated in the schedule. The conversation starters are mandatory assignments.



Coding Exercise

The coding exercise involves the analysis of primary and secondary data with NVivo (or qualitative analysis software of your choice). Further information about the coding exercise will provided in the class on 18 March 2020.  


 


Lecture plan

Block#

Time*

Description --2020

Instructor

1

Week 11

Mon
9 March

Kickoff (9:00-10:30)

*Pre-course Assignment (due 24/2)

All faculty

1. Introduction to Qualitative Research Methods
2. Interview methods

*Assignment: conversation starter
(due 2/3)


Michel

Avital

 

Tue

10 March

3. Ethnography and Fieldwork

*Assignment: conversation starter (due 3/3)

 

Daniel

Souleles

Wed
11 March


4. Linguistics, semiotics, and storytelling
*Assignment: conversation starter (due 4/3)

 

Daniel

Souleles

 

 

2

Week 6

 

Tue 
17 March


5. Case Research Methodology

*Assignment: conversation starter (due 13/3)

 

Thomas Frandsen

& Jawwad Raja

Wed 

18 March


6. Digital Analysis of Qualitative Data – Part 1: Coding, Recursive Abstraction
*Assignment: conversation starter (due 14/3)

Torkil Clemmensen

Thu
19 March


7. Digital Analysis of Qualitative Data – Part 2: Abstraction and Communication of Findings

* Assignment: coding exercise (due 15/3)

Torkil Clemmensen

* Light breakfast will be served at 8:30

*All daily sessions are 9:00 12:00 and 13:00 16:00 unless noted otherwise.


Learning objectives

Learning Objectives

At the end of the course, students should be able to:

  • Discuss the theories and methods that were presented in class and covered by the readings
  • Design theoretically valid and methodologically rigorous qualitative studies
  • Develop protocols for qualitative data collection
  • Identify and assess data sources and data collection methods for qualitative studies
  • Demonstrate an understanding of qualitative data analysis techniques
  • Interpret analytical results from qualitative studies
  • Assess the quality of qualitative studies
  • Articulate in writing a formal description of qualitative research design and analysis

 


Exam

Written Exam

The exam will take the form of an individual take-home 5 pages written exam that is designed to foster the application of the qualitative research methods covered in the course.

The paper should emulate the research design section of a doctorate thesis. Accordingly, the paper should outline the design of a qualitative empirical study for investigating one's domain of interest or any other contemporary or emerging topic in the social sciences. The paper should incorporate the following elements:

  • Selected topic to be investigated via qualitative research models (in brief)
  • The significance of the selected topic (in brief)
  • Prior research on the selected topic (in brief)
  • Research question(s) to be answered based on the selected topic
  • Theoretical lens to guide data collection and analysis (in details)
  • Qualitative research strategy being adopted to answer the research question(s) (in details)       
    • Protocols for data collection
    • Possible data source(s)
    • Proposed data analytical technique(s) to be utilized

  • Potential contributions to theory and practice (in brief)

All work must be original material that is produced individually. The paper is due two weeks following the last session of the course. Re-take exam, if necessary, will be administered about a month later.


Other

Start date
09/03/2020

End date
19/03/2020

Level
PhD

ECTS
5

Language
English

Course Literature

Required Text

Mandatory Readings:

See the reading list in the course plan. Please plan ahead and obtain the reading materials, especially the books, ahead of time. See further information in Canvas. Additional articles and resources may be provided on a need-to basis.

Required Books:

George Lakoff and Mark Johnsen (2003) Metaphors we live by. London: The University of Chicago Press.

Yin, R. K. (2017). Case study research and applications: Design and methods. Sage publications.

Self-select a good general reference book. We recommend one of the following:

Patton, M. Q. (2015). Qualitative research and evaluation methods. Sage.

Symon, G., & Cassell, C. (Eds.). (2012). Qualitative organizational research: core methods and current challenges. Sage.

Crotty, M. (1998). The foundations of social research: Meaning and perspective in the research process.

Required Background

If you have no background in philosophy of science, please read at least one of the following:

Kuhn, T (1970). The Structure of Scientific Revolutions

Hollis, M. (1994) The Philosophy of Social Science. Cambridge University Press

Latour, B. (1987). Science in action: How to follow scientists and engineers through society. Harvard university press.


Fee
DKK 6.500.-

Minimum number of participants
12

Maximum number of participants
24

Location

Copenhagen Business School

Location:

Week 11

Monday 9 March 2020
Kilevej 14A, room 143 (1 floor)

Tuesday 10 March 2020
Howitzvej 60, Room: 5.23

Wednesday 11 March 2020
Howitzvej 60, Room: 5.23


Week 12

Tuesday 17 March 2020
Howitzvej 60, Room 2.00

Wednesday 18 March 2020
Howitzvej 60, Room: 5.23

Thursday 19 March 2020
TBA


Time:
All daily sessions are 9:00 12:00 and 13:00 16:00 unless noted otherwise.


There will be refreshments in the morning and in the afternoon (coffee, tea, water). Please note that the lunch is not included and you will have to provide it yourself.

 


Contact information
For further enquiries about the course please send mail to Blazenka B. Kvistbo, bbk.research@cbs.dk

Registration deadline
21/02/2020

Please note that your registration is binding after the registration deadline.
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