Qualitative Research Methods (5 cr)
Code: HY00BS15-3009
General information
- Enrollment
-
25.11.2024 - 01.12.2024
Registration for the implementation has ended.
- Timing
-
01.01.2025 - 31.07.2025
Implementation is running.
- Number of ECTS credits allocated
- 5 cr
- Local portion
- 0 cr
- Virtual proportion
- 5 cr
- Mode of delivery
- Distance learning
- Unit
- 30 Ylemmät ammattikorkeakoulututkinnot
- Campus
- Laurea Virtual Campus
- Teaching languages
- English
- Seats
- 40 - 50
- Degree programmes
- Complementary competence, Master’s studies (TYJ), Generic Studies
- Complementary competence, master’s studies in English (CYJ2), Generic studies
- Teachers
- Jukka Ojasalo
- Teacher in charge
- Jukka Ojasalo
- Groups
-
TYJ24SJTäydentävä osaaminen (yamk-tutkinto), S24, yhteiset opinnot
-
CYJ24SJComplementary competence (master’s studies in English), S24, Generic studies
- Study unit
- HY00BS15
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
Location and time
Instruction in Zoom or Teams
Materials
Saldana, Johny, Patricia Leavy, and Natasha Beretvas (2011). Fundamentals of Qualitative Research. Oxford University Press.
Instructor’s slides handout
Other materials given by instructor
Teaching methods
Lectures, group exercises during instruction, individual assignments
Employer connections
Each student may select the case company/organization for the course assignment him/herself.
Exam schedules
28 Sept 2024, 08:30-16:30, Zoom/Teams
19 Oct 2024, 08.30 - 16.30, Zoom/Teams
23 Nov 2024, 08.30 - 16.30, Zoom/Teams
International connections
Instruction in English
Student 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)
Assessment criteria, approved/failed
Approval criteria: Obligatory assignments, participation in instruction
Content 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.
Evaluation scale
Approved/Failed
Further information
It is compulsory to attend the contact instruction.