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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

  • CYJ23KJ
    Complementary competence (master’s studies in English), K23, Generic studies
  • TYJ23KJ
    Täydentävä 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