Qualitative Research Methods

Type of CourseSeminar
TermSummer term 2017
Credits4


Dates/Times/Locations
Thursday, 09:00-18:00, single: 15.06.2017
Wednesday, 09:00-18:00, single: 14.06.2017


Instructors
Gregory, Robert Wayne, Prof. Dr.
Eickhoff, Matthias, Dr.


Course Language:

English, German

 

Learning outcome, core skills:

IS doctoral students attending this course will learn how to/about:

  • Put a chosen philosophical perspective and ethics into qualitative research and publishing practice
  • apply a variety of advanced research methods in your qualitative research project (e.g., grounded theory, ethnography, engaged scholarship)
  • a variety of advanced qualitative data analysis techniques and how to apply them in your project (e.g., advanced triangulation, coding, sampling)
  • Theorize based on your qualitative data and how to make a theoretical contribution
  • Craft an engaging and convincing story at the level of top-tier journals to get your qualitative work published

  

Course and content:

This course addresses first and second year IS doctoral students and introduces them to qualitative research methods commonly used in business information systems research, especially case study research. The course also introduces one of the key data collection techniques that is widely used in qualitative research, namely interviews, and discusses one of the key analytical tools for dealing with qualitative data, namely coding. Last, but not least, the course introduces approaches for writing up qualitative research.

 

Course assessment:

Presentation

 

Assessment requirements:

Students have to demonstrate profound knowledge of the methodological foundations of the material and to relate these to the own PhD project. To do so, students have to submit a presentation file following a pre-defined structure and to give a related presentation during the seminar.

 

Registration:

Deadline: 4/30/2017. Please use the application form.

In case of questions, please send an e-mail to Matthias Eickhoff (matthias.eickhoff@wiwi.uni-goettingen.de).

  

Course timeline: