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Advanced qualitative methods in social studies

General data

Course ID: 1600-SZD-WM-ZMJwNS
Erasmus code / ISCED: (unknown) / (unknown)
Course title: Advanced qualitative methods in social studies
Name in Polish: Zaawansowane metody jakościowe w naukach społecznych
Organizational unit: Faculty of Psychology
Course groups: Methodological classes - Doctoral School of Social Sciences
ECTS credit allocation (and other scores): (not available) Basic information on ECTS credits allocation principles:
  • the annual hourly workload of the student’s work required to achieve the expected learning outcomes for a given stage is 1500-1800h, corresponding to 60 ECTS;
  • the student’s weekly hourly workload is 45 h;
  • 1 ECTS point corresponds to 25-30 hours of student work needed to achieve the assumed learning outcomes;
  • weekly student workload necessary to achieve the assumed learning outcomes allows to obtain 1.5 ECTS;
  • work required to pass the course, which has been assigned 3 ECTS, constitutes 10% of the semester student load.
Language: Polish
Type of course:

elective courses

Short description:

METHOLOGICAL CLASSES

20 h seminar

home assigments, exercises during class, discussions

Full description:

1) Course Outline

Topic 1 – The difference between quantitative and qualitative research methods

Readings:

Maison, D. (2010). Jakościowe metody badań marketingowych. Jak zrozumieć konsumenta. Warszawa: PWN. (chapter 1, 2, 3)

Silverman, D. (2007). Interpretacja danych jakościowych. Warszawa: PWN. (chapter 3)

Issues discussed:

• Specificity of qualitative research methods: methodology of qualitative research (qualitative vs quantitative)

• Different qualitative methods: IDI, FGI, ethnographic research, online qualitative methods

• The difference between qualitative methods in science and practice (applied qualitative research)

• How qualitative research methods can help answer scientific questions

Home assignment: analysis of examples of qualitative scientific research

Topic 2 – Planning of qualitative research

Readings:

Maison, D. (2010). Jakościowe metody badań marketingowych. Jak zrozumieć konsumenta. Warszawa: PWN. (chapter 4, 5)

Issues discussed:

• Definition of research problem: which research questions are answered by qualitative methods, combining qualitative and quantitative methods

• Designing the research schemata: choice of methods, number of interviews, number of groups in research schemata

• Definition of recruitment/ selection criteria)

Home assignment: planning a qualitative research (research schemata, recruitment/ selection criteria)

Topic 3 – Discussion guide

Readings:

Maison, D. (2010). Jakościowe metody badań marketingowych. Jak zrozumieć konsumenta. Warszawa: PWN. (chapter 3, 4, 5)

Issues discussed:

• Research problems, research questions, and interview questions

• Questions and topics sequence rules

• Enabling and projective techniques

• Rules of preparing discussion guide (topic guide, interview scenario)

Home assignment: preparation of discussion guide

Topic 4 – Conducting an interview

Readings:

Maison, D. (2010). Jakościowe metody badań marketingowych. Jak zrozumieć konsumenta. Warszawa: PWN. (chapter 9)

Silverman, D. (2007). Interpretacja danych jakościowych. Warszawa: PWN. (chapter 10)

Issues discussed:

• Types of skills advisable in conducting qualitative research

• Types of questions

• Building contact with respondent in qualitative interview

• Skills helping with „difficult respondents”

Home assignment: short essay (3000 signs) and conducting 2 qualitative interviews

Topic 5 – Analyzing and interpreting qualitative data

Readings:

Maison, D. (2010). Jakościowe metody badań marketingowych. Jak zrozumieć konsumenta. Warszawa: PWN. (chapter 10)

Braun, V., and Clarke, V. (2006). Using thematic analysis in psychology. Qualitative Research in Psychology, 3, 77–101. doi: 10.1191/1478088706qp063oa

Miles, M.B., Huberman, A.M. (2000). Analiza danych jakościowych. Białystok: Trans Humana. (chapter 10)

Silverman, D. (2007). Interpretacja danych jakościowych. Warszawa: PWN. (chapter 8)

Issues discussed:

• Qualitative data analysis framework

• Interpretation of qualitative data – what we can conclude from qualitative research and what we can’t

• Principles of reporting qualitative data in applied research

• Scientific publications based on qualitative research

Final assignment: qualitative research report

Bibliography:

Braun, V., and Clarke, V. (2006). Using thematic analysis in psychology. Qualitative Research in Psychology, 3, 77–101. doi: 10.1191/1478088706qp063oa.

Maison, D. (2010). Jakościowe metody badań marketingowych. Jak zrozumieć konsumenta. Warszawa: PWN.

Miles, M.B., Huberman, A.M. (2000). Analiza danych jakościowych. Białystok: Trans Humana.

Silverman, D. (2007). Interpretacja danych jakościowych. Warszawa: PWN.

Learning outcomes:

Knowledge:

Knows and understands:

- The basic principles of knowledge transfer to the economic and social sphere and the commercialization of the results of scientific activity and the know-how associated with these results.

Skills:

Able to:

- use knowledge from various fields of science or arts to creatively identify, formulate and innovatively solve complex problems or perform tasks of a research nature, in particular:

- define the purpose and object of scientific research, formulate a research hypothesis

- develop methods, techniques and research tools and creatively apply them

- make conclusions based on the results of scientific research.

Assessment methods and assessment criteria:

1) Assessment Tasks:

• Active participation in the class.

• Correct performance of home assignment.

• One absence is admissible.

2) Learning Outcomes Assessment:

• Home assignment.

3) Assessment criteria:

• Correct performance of home assignment.

Practical placement:

-

Classes in period "Winter semester 2023/24" (past)

Time span: 2023-10-01 - 2024-01-28
Selected timetable range:
Navigate to timetable
Type of class:
Classes, 20 hours, 12 places more information
Coordinators: Dominika Maison
Group instructors: Dominika Maison
Students list: (inaccessible to you)
Examination: Course - Pass/fail
Classes - Pass/fail
Course descriptions are protected by copyright.
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