Computer-Assisted Qualitative Data Analysis (CAQDA) 02.06-S2-EN-CAQDA
Course content:
A. Lectures:
• Logic of qualitative inquiry – grounded theory methodology in context
• Entering the field: designing the qualitative study
• Data in qualitative research
• Overview of CAQDAS
• Different approaches to coding
• Analytical strategies
• Theorizing in qualitative research
• Writing a research report
• Ethical issues in qualitative reserach
B. Labs:
• Starting point in the qualitative design: thinking about research topics (with critical use of design thinking)
• Designing for the unknown: inductive research project development
• Data management: recording, transcribing, storing
• Overview of Atlas.ti software
• Coding the data
• Analytical tools in Atlas.ti
• Theory building tools in Atlas.ti
• Writing a research report
Literatura uzupełniająca
Koordynatorzy przedmiotu
Efekty kształcenia
Knowledge
Student:
• understands the logic of qualitative inquiry in sociology
• knows the CAQDA software
Skills
Student:
• can formulate research questions and hypotheses in qualitative research
• can write a research report of a qualitative analysis
• is able to interpret qualitative data in context and make constant comparisons within code categories in order to derive abstract observations
• can use CAQDA software for sociological research
• can work in group on a research projects
• is able to present her research results
Social competences
Student:
• is aware of different methodological approaches to qualitative research
• is prepared and eager to design a research project
• is motivated to pose research questions herself and use advanced sociological tools to answer them
• is aware of the sensitivity of the participation of human subjects in qualitative inquiry
• can use the software in a creative way, beyond typical research tasks
Kryteria oceniania
• In class evaluation of assignments
• In class evaluation of analysis development
• Evaluation of the final report
The participation in lectures is credited and not graded.
Student performance in labs is graded based on”
• the involvement and performance in the class assignments and analyses – 50%
• the final report – 50%
Literatura
• Qualitative Data Analysis with ATLAS.ti, Susanne Friese
• Strauss, Anselm, Corbin, Juliet (1998). Basics of Qualitative Research. Thousand Oaks: Sage.
• Clive Seale, Researching Society and Culture
• Kvale, Steinar, InterViews : learning the craft of qualitative research interviewing / Thousand Oaks : Sage Publications, 2009.
Więcej informacji
Dodatkowe informacje (np. o kalendarzu rejestracji, prowadzących zajęcia, lokalizacji i terminach zajęć) mogą być dostępne w serwisie USOSweb: