The Practice of Analysis of Non-numerical Data in Sociology

Major: Sociology
Code of subject: 6.054.02.E.061
Credits: 6.00
Department: Sociology and Social Work
Lecturer: Herus Olha Ihorivna, Ph.D., Lecturer
Semester: 7 семестр
Mode of study: денна
Мета вивчення дисципліни: The course "Practice of analyzing non-numerical data in sociology" is designed for students who have mastered the basic concepts of general sociology and acquired the skills of conducting research using quantitative and qualitative methods. Its purpose is an in-depth study of the theoretical and methodological foundations of the analysis of non-numerical data in sociology.
Завдання: ЗК1. Ability to apply knowledge in practical situations. ЗК8. Ability to learn and master modern knowledge. ЗК9. Ability to use information and communication technologies. ЗК14. Ability to identify problems and make informed decisions. СК4. Ability to collect, analyze and summarize social information using sociological methods. СК6. Ability to analyze and systematize the obtained results, formulate reasoned conclusions and recommendations. СК8. The ability to observe the norms of professional ethics of a sociologist in their activities. ФКС2.5. The ability to apply knowledge and skills of working with non-numerical data during sociological research
Learning outcomes: PH01. To use the conceptual apparatus of sociology in educational, research and other spheres of professional activity. PH02. To understand the history of the development of sociology, its modern concepts and theories, the main problems. PH03. Apply the provisions of sociological theories and concepts to the study of social changes in Ukraine and the world. PH04. To explain the patterns and peculiarities of the development and functioning of social phenomena in the context of professional tasks. PH05. Communicate freely in national and foreign/foreign languages orally and in writing on professional issues. PH06. Effectively perform various roles (in particular, organizer, communicator, critic, idea generator, executor, etc.) in a team in the process of solving professional tasks. PH07. To be able to use information and communication technologies in the process of searching, collecting and analyzing sociological information. PH08. Justify one's own position, make and argue independent conclusions based on the results of research and analysis of professional literature. PH09. Be able to develop a program of sociological research. PH10. Possess the skills of collecting social information using quantitative and qualitative methods PH11. Present the results of own research for specialists and non-specialists. PH12. Know and adhere to the ethical norms of the sociologist's professional activity. Зн1. Conceptual scientific and practical knowledge Зн2. Critical understanding of theories, principles, methods and concepts in the field of professional activity and/or education. Зн3. Knowledge of the theoretical and methodological foundations of social engineering activities, in particular social forecasting, social planning and design. Ум1. Advanced cognitive and practical skills/skills, mastery and innovation at the level necessary to solve complex specialized tasks and practical problems in the field of professional activity or study. K1. Conveying information, ideas, problems, solutions, own experience and arguments to specialists and non-specialists K2. Collection, interpretation and application of data. AB1. Management of complex technical or professional activities or projects. AB2. Ability to take responsibility for making and making decisions in unpredictable work and/or learning contexts. AB3. Formation of judgments that take into account social, scientific and ethical aspects. AB5. Ability to continue learning with a significant degree of autonomy.
Required prior and related subjects: prerequisites: • Resource potential of the information society • Theory and practice of social inclusion
Summary of the subject: The program is designed for 30 lecture and 30 seminar hours. Practical classes should consolidate students' theoretical knowledge, teach them to independently analyze and compare existing methods of collecting information in sociology in a qualitative paradigm, since the awareness and qualified application of this knowledge is a guarantee of professional activity.
Опис: Qualitative research in sociology: conceptual framework and features of methodology. Theory and history of development of non-numerical methods of sociological research. Ethnographic research and case-sdudy. Visual sociology and interpretation of qualitative data. Procedure of discourse analysis and frame data analysis.
Assessment methods and criteria: • oral interviews, participation in discussions and interactive exercises, presentation of the study project (40%) • final control (verification event, exam), written form (60%)
Критерії оцінювання результатів навчання: The procedure and criteria for assigning points and grades: report, presentation - 5 points. (correctness, logic, reasonableness, integrity of knowledge; quality of knowledge – its completeness, depth, flexibility, systematicity, strength; correct use of conceptual and terminological apparatus; speech culture (literacy, logic and sequence of presentation); level of meaningfulness of knowledge – the ability to formulate independent evaluations judgments and theoretical conclusions). review, opposition - 2 points. (correctness, logic, reasonableness, integrity of knowledge; the ability to oppose and review; the ability to argue one's own judgments and conclusions during a scientific discussion.) addition - 1 point. (scientifically based statement that reveals the essence of phenomena, processes, regularities). homework or case analysis - 5 points. (the sequence of solving the situation proposed in the exercise or case; approaches to solving the situation proposed in the exercise or case; the quality of solving the situation proposed in the exercise or case; revealing cause-and-effect relationships between phenomena and processes during solving situation proposed in the exercise or case) Evaluation criteria for individual tasks Individual homework - 5 points. (the structure of the work meets the requirements; the quality of the sources of information and the content of the work; the level of independence and the depth of meaningfulness of the introduction and conclusions; the level of familiarity with factual material, terminology and concepts; the ability to analyze, compare, classify and summarize the material). Individual control task (research program) - 20 points. (the structure of the work meets the requirements (methodological, methodical sections, conclusions); the quality of the sources of information and the content of the work; the level of independence and the ability to defend the decisions made; the level of familiarity with factual material, terminology and concepts).
Recommended books: 1. Anderson, V. (2017). Criteria for evaluating qualitative research. Human Resource Development Quarterly, 28(2), 125–133. 2. Braun, V., Clarke, V., Hayfield, N., Terry, G. (2019). Thematic analysis. In Liamputtong, P. (Ed.), Handbook of research methods in health social sciences (pp. 843–860). Sage. 3. Cardano, Mario. (2020). On qualitative data analysis. 10.4324/9780429464232-6. 4. Kate T. Anderson & Jessica Holloway (2020) Discourse analysis as theory, method, and epistemology in studies of education policy. Journal of Education Policy, 35:2, 188-221, DOI: 10.1080/02680939.2018.1552992 5. Keller R. Entering Discourses: A New Agenda for Qualitative Research and Sociology of Knowledge. Qualitative Sociology Review. 2012. Vol. VIII (2). P. 46–75. 6. Klymanska L., Boiko I. Media Frames and Constructs of Social Problem. Media i spoleczenstwo. Akademia techniczno-humanistyczna. Bielsko-Biala, 2017. Р. 129–147. 7. Klymanska L., Boiko I. Sociological Version of the Discourse Analysis as a Tool to Study the Memory of the Historical Events. Pomiedzy pamiecia zbiorowa a historia. Rekonstrukcje przeszlosci w Europie Srodkowo-Wschodniej. Gdansk: Wydawnictwo Naukowe Katedra, 2017. P. 445–459. 8. Lester, J. N., Cho, Y., & Lochmiller, C. R. (2020). Learning to Do Qualitative Data Analysis: A Starting Point. Human Resource Development Review, 19(1), 94–106. 9. Ruiz J. Sociological Discourse Analysis: Methods and Logic. Forum: Qualitative Sozialforschung / Forum: Qualitative Social Research. 2009. Volume 10. No. 2. Art. 26.