Qualitative Data Analysis for Business and  Management Research

2019-2020

Course Objective

Participants learn to conduct various elements of qualitative research
that eventually aims at publishing qualitative research. Each session
has its
own detailed learning outcomes, as explained in the course manual.

Overall, after successful completion of the course, students will:
• Know what characterizes high-quality qualitative research
• Be able to iteratively (re)design and plan a qualitative research
study and
formulate judgements about designs in writing and verbally
• Have practiced with a variety of qualitative methods and techniques
(related to data collection and analysis)
• Be able to write up a qualitative study and provide good arguments for
certain method related choices (including memos)
• Be able to discuss qualitative research methods with peers

Course Content

The course enables students to conduct in-depth, analytical, complexity-
structuring qualitative empirical research, with a strong focus on the
iterative
process of data analysis. By going through several 'iterative cycles'
during the
course, students will learn to conduct the various parts of qualitative
research
that fit with the elements of a qualitative research publication
(design,
methods, literature, empirical findings, discussion/ analysis,
conclusion).

Students will do a research project during the course. They will develop
and
use the technique of 'memo writing' in order to fine-tune and further
develop
their project. They will also get acquainted with aspects of qualitative
methods
and techniques to do research in business administration, such as case
studies, ethnography, grounded theory, interviews, observations, online
data,
and learn how to use computer assisted tools, process methods, and/or
QCA.
This advanced course is based on seminal work in journals such as AMR,
AMJ, OSci, JMS, SMJ, ASQ, MISQ and taught by faculty who will use their
own practical experience with publishing qualitative research.

Teaching Methods

The course consists of 2 sessions per week, for 6 weeks, in the form of
interactive tutorials (including a computer lab) and feedback sessions.
There
are many in-class exercises that students need to participate in, while
in
parallel, they work on their graded assignments. The main aim is to
develop
the students' hands-on experience with doing qualitative research.

Method of Assessment

Students have to hand in 4 (individual) assignments for grades; the
final grade
is the weighted average of all partial grades, and must be a 5.5 or
higher to
successfully pass the course. The assignments and exact evaluation
criteria
for grading will be explained in the course manual and are discussed
during
the sessions.

Additional conditions to pass the course:
Class attendance is a mandatory requirement of this course; being absent
for
more than two sessions leads to failing the course. Besides attendance,
a
number of mandatory in-class assignments need to be handed in (not for
grades). Active participation in discussions in class is expected as
research is
engaging in a debate and a willingness to do so should also be shown in
class.

Resit: it is possible to resit assignments.

Literature

A set of academic articles will be made available via Canvas.
The literature is assumed to have been read prior to each session.

Target Audience

Due to the entry requirements of the programme, the courses of the
Research Master Business in Society are only available for students
registered for this master’s programme and, upon approval of the
programme director, to other Research Master programmes or PhD students.

General Information

Course Code E_BIS_QDABMR
Credits 6 EC
Period P4
Course Level 400
Language of Tuition English
Faculty School of Business and Economics
Course Coordinator dr. M. Soekijad
Examiner dr. M. Soekijad
Teaching Staff dr. M. Soekijad

Practical Information

You need to register for this course yourself

Last-minute registration is available for this course.

Teaching Methods Lecture
Target audiences

This course is also available as: