Qualitative Research Methods (5 cr)
Code: HY00BS15-3005
General information
Enrollment
28.11.2022 - 04.12.2022
Timing
01.01.2023 - 31.07.2023
Number of ECTS credits allocated
5 op
Virtual proportion
5 op
RDI proportion
4 op
Mode of delivery
Distance learning
Unit
Korkeakouluyksikkö D /YAMK
Campus
Laurea Virtual Campus
Teaching languages
- English
Seats
40 - 50
Degree programmes
- Complementary competence, master’s studies in English (CYJ2), Generic studies
- Complementary competence, Master’s studies (TYJ), Generic Studies
Teachers
- Jukka Ojasalo
Teacher in charge
Jukka Ojasalo
Groups
-
CYJ23KJComplementary competence (master’s studies in English), K23, Generic studies
-
TYJ23KJTäydentävä osaaminen (yamk-tutkinto), K23, yhteiset opinnot
Learning outcomes
The students will be able to
- Understand the principles of qualitative research and data analysis
- Outline the different approaches of qualitative data analysis
- Understand the stages in the analytical process
- Code and categorize qualitative data
- Report results from analysis
Teaching methods
Lectures, group exercises during instruction, individual assignments
Location and time
Instruction in Zoom:
Learning materials and recommended literature
Saldana, Johny, Patricia Leavy, and Natasha Beretvas (2011). Fundamentals of Qualitative Research. Oxford University Press.
Instructor’s slides handout
Co-operation with working life and/or RDI
Each student may select the case company/organization for the course assignment him/herself.
Important dates
4th February 2023, 08.30 - 16.30
25th February 2023, 08.30 - 16.30
20th May 2023, 08.30 - 16.30
Students workload
5 ects credits = 135 hours (1 credit = 27 hours of work)
Contact instruction
Reading the literature for the assignments
Collaboration with the case company/organization
Writing the assignments (notes, reports)
Content and scheduling
Objectives
The students will be able to
• Understand the principles of qualitative research and data analysis
• Outline the different approaches of qualitative data analysis
• Understand the stages in the analytical process
• Code and categorize qualitative data
• Report results from analysis
Description
The course helps to understand and conduct qualitative research. It increases capabilities to analyze qualitative data. It introduces the philosophical grounds of qualitative methodology and different qualitative methods. It helps in making methodological choices of and advancing the student’s own thesis project through individual assignments and group exercises. It helps the student to make methodological choices and apply qualitative methods of the student's own master thesis project.
Further information for students
It is compulsory to attend the contact instruction. Accepting the invitation to the Canvas learning environment of the course is understood as student's expression to commitment to active participation in the course. The student is expected to inform the instructor if active participation in the course is hindered.
Grading scale
Approved/Failed
Evaluation methods and criteria
Participation in instruction, assignments
Evaluation criteria, approved/failed
Approval criteria: Obligatory assignments, participation in instruction