SubjectsSubjects(version: 992)
Course, academic year 2025/2026
   
Introduction to Qualitative Methods in Social Sciences - YBLS007
Title: Introduction to Qualitative Methods in Social Sciences
Form of teaching: seminar
Guaranteed by: Programme Liberal Arts and Humanities (24-SHVAJ)
Faculty: Faculty of Humanities
Actual: from 2025 to 2025
Duration in semesters: 1
Semester: summer
E-Credits: 4
Examination process: summer s.:
Hours per week, examination: summer s.:0/2, MC [HT]
Capacity: unknown / 20 (20)
Maximum number of enrolled students: 20
Min. number of students: unlimited
4EU+: no
Virtual mobility / capacity: no
State of the course: taught
Language: English
Teaching methods: full-time
Old code: YBAJ244
Repeated enrollment: 1 (2) / 1 / 1 / 1
Note: course can be enrolled in outside the study plan
enabled for web enrollment
Guarantor: doc. PhDr. Marta Kolářová, Ph.D.
Teacher(s): doc. PhDr. Marta Kolářová, Ph.D.
Class: Courses unavailable to incoming students
Incompatibility : YBAJ244
Pre-requisite : YBAJ001
Annotation -
This introductory course provides students with a foundation in the theory and practice of qualitative research methods in the social sciences. It focuses on how qualitative inquiry can be used to study social phenomena, human experience, meaning-making, and the perspectives of individuals and groups. Students will become familiar with the main stages of the qualitative research process, including the formulation of research questions, sampling, research ethics, data collection, coding, analysis, and the presentation of findings. The course introduces key qualitative methods such as semi-structured interviews, focus groups, document and media analysis, ethnography, as well as the use of software tools for qualitative data analysis. By combining theoretical discussion with practical methodological training, the course supports students in developing the basic skills needed to design, conduct, and present their own qualitative research.
Last update: Horáčková Karolína, Mgr. (06.09.2026)
Course completion requirements

1) Attendance (at least 75%) and active participation in class: 

  • Students will work individually and in small groups.  

2) Submitting 5 partial assignments: 

  • The course work is designed as continuous; students practice specific techniques and submit 5 partial assignments (research questions, interview guide, field notes, data analysis) during the semester.  

3) Reading of methodological chapters:

  • 3 in semester.

Grading:

  • 100-90 % = 1
  • 89-75 % = 2
  • 74-60 % = 3
  • less than 60 % = not pass

AI Usage Recommendations for Students: AI's possibilities and limitation for qualitative research will be discussed in this course. You are permitted to use AI tools under the teacher's supervision and for specific tasks. AI must never be used to analyze or interpret personal or sensitive data. Any use of AI in your assignments must be done ethically and responsibly, and explixitly declared in your written work including the tool name, prompts used, and how the output was verified.

Last update: Horáčková Karolína, Mgr. (06.09.2026)
Syllabus

1) Introduction: What Is Meant by “Social Research”? Why Do Social Research? Differences Between Qualitative and Quantitative Research, Inductive and Deductive Reasoning

2) Qualitative Research in the Social Sciences: Background, Research Designs, Approaches, and Techniques. The Research Process in Qualitative Research: The Relationship Between Data and Theory, Triangulation

3) Research Ethics 

4) Formulating the Research Question in Qualitative Research. Sampling 

5) Interviews: Conducting an In-Depth, Semistructured Interview for Qualitative Research: Types of Questions and Interview Guide

6) Analysing Documents: Media Research, Online Research, and Qualitative Content Analysis

7) Group Interviews: Focus Groups, Preparation, Moderating Discussion, and Analysis 

8) Observation: Ethnography, Participant Observation, Role of the Observer, Field Notes, Netnography, and Autoethnography

9) Data Analysis in Qualitative Research  

10) Using Software in Qualitative Analysis (CAQDAS) 

11) Data Coding and Categorization 

12) Writing the Final Research Report: Presentation of Qualitative Research

Last update: Horáčková Karolína, Mgr. (06.09.2026)
 
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