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)
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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 |
Navigate to timetable
MO CW
TU W TH FR |
Type of class: |
Classes, 20 hours, 12 places
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Coordinators: | Dominika Maison | |
Group instructors: | Dominika Maison | |
Students list: | (inaccessible to you) | |
Examination: |
Course -
Pass/fail
Classes - Pass/fail |
Copyright by University of Warsaw.