Methods of Qualitative Data Analysis in Sociology
Course: Sociаl Technologies
Structural unit: Faculty of Sociology
            Title
        
        
            Methods of Qualitative Data Analysis in Sociology
        
    
            Code
        
        
            ОК9
        
    
            Module type 
        
        
            Обов’язкова дисципліна для ОП
        
    
            Educational cycle
        
        
            Second
        
    
            Year of study when the component is delivered
        
        
            2024/2025
        
    
            Semester/trimester when the component is delivered
        
        
            2 Semester
        
    
            Number of ECTS credits allocated
        
        
            4
        
    
            Learning outcomes
        
        
            1.1 Know the basic methods of analysis of non-numerical (textual and visual) data and the possibility of their application in sociology.
1.2 Know the process of planning the analysis of non-numerical data when conducting sociological research with a qualitative or mixed type of design.
1.3 Know the professional and ethical standards in the analysis of non-numerical data in sociological research.
2.1 Choose the best methods of analysis of non-numerical data in accordance with the objectives and object of study.
2.2 Process, analyze and meaningfully interpret non-numerical (textual and visual) data.
        
    
            Form of study
        
        
            Full-time form
        
    
            Prerequisites and co-requisites
        
        
            1. Know the basic principles of sociological research with qualitative design and methods of collecting non-numerical data.
2. Be able to prepare a program of sociological research.
3. Have the skills to work with English-language scientific literature.
        
    
            Course content
        
        
            I. Analytical strategies for working with non-numerical data in sociology.
1. Introduction. Theoretical and methodological principles of non-numerical data analysis methods.
2. Modern methods of analysis of non-numerical data.
3. Ethics of working with non-numerical data.
4. Planning the analysis of non-numerical data and the choice of methods in accordance with the objectives and object of study.
ІІ. Processing procedures and methods of analysis of non-numerical data.
5. Processing and analysis of non-numerical data.
6. Interpretation of non-numerical data and report preparation.
        
    
            Recommended or required reading and other learning resources/tools
        
        
            1. Day I. Qualitative Data Analysis. A user-friendly guide for social scientists. Routledge, 2005. - 294 pp. Http://www.soc.univ.kiev.ua/uk/library/qualitative-data-analysis-user-friendly-guide-social-scientists
2. Chandra Y. Shang L. Qualitative research using R: A systematic approach. Springer, 2019. - 151 rubles.
3. Creswell J.W., Poth C.N. Qualitative inquiry and research design: Choosing among five approaches. Fourth Edition. Sage publications, 2018. (Chapters 2, 3, 4, 5, 6, 8, 9, 10, 11)
4. Qualitative research in sociological practices: Textbook / Ed. N. Kostenko, L. Skokova. - Kyiv: Institute of Sociology of the National Academy of Sciences of Ukraine, 2009. (Lectures 1, 2, 3, 5, 8, 13) https://sociology.knu.ua/uk/library/yakisni-doslidzhennya-v-socoilogichnih-praktikah-navchalniy- posibnik-za-red-nkostenko
        
    
            Planned learning activities and teaching methods
        
        
            Lecture, practical classes, individual work
        
    
            Assessment methods and criteria
        
        
            1. CW 1 (written practical tasks of group work) with topics 1-4, LR 1.1, LR 1.2, LR 1.3, LR 2.1 = 30 points / 18 points.
2. CW 2 (individual research project on the analysis of non-numerical data and presentation of analysis results) on topics 5-6, LR 1.1, LR 2.1, LR 2.2 = 30 points / 18 points.
final assessment: Exam LR 1.1, LR 1.2, LR 1.3, LR 2.1, = 40 points / 24 points
        
    
            Language of instruction
        
        
            ukrainian
        
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