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Lecturer(s)
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Maškarinec Pavel, doc. Mgr. Ph.D.
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Bláha Petr, Mgr. Ph.D.
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Course content
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1. Introductory lesson: introduction to the subject of study. 2. Epistemology, ontology and logic of social science research. 3. Research design. 4. Methods of data collection and data management. 5. Ethnographic and biographical methods in social sciences. 6. Discursive analysis. 7. Basics of mathematics and logic for social sciences. 8. QCA and configurational methods. 9. Basics of statistics and analytical software (Excel, Statistica, SPSS and freeware alternatives). 10. Basic statistical concepts (mean, mode, median, variance, standard deviation) and descriptive statistics. 11. Selection of cases and definition of variables. 12. Regression and correlation analysis I. 13. Regression and correlation analysis II. 14. Final class.
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Learning activities and teaching methods
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unspecified, unspecified, unspecified, unspecified, unspecified
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Learning outcomes
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The course deals with advanced research methods in the social sciences. In the introduction, students will get acquainted with the logic of research and the basic parameters of scientific knowledge, so that they will then be able to configure a suitable research design and determine an effective method of data collection. The next part of the course will be devoted to qualitative methods (ethnographic research and biographical methods) and discursive analysis. The second half of the course builds on the basis of quantitative methods, i.e. especially the basics of statistics and mathematics, which are a necessary prerequisite for the implementation of basic statistical methods - especially regression and correlation analysis of data.
The student is able to use professional terminology. The student is familiar with advanced methods of social science research. The student is able to choose an adequate research technique for the analyzed problem. The student is able to apply the selected research techniques to a theoretically or practically defined problem.
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Prerequisites
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None
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Assessment methods and criteria
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unspecified
To successfully complete the course, the following is required: 1) Pre-Exam credit: seminar work presenting the results of own research, active participation in discussions during seminars - participation in seminars (at least 75%); 2) Exam: a written exam in the form of a test examines the student's ability to orient himself in the field of research methods in the social sciences.
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Recommended literature
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Beneš, Vít - Drulák, Petr (ed.). Metodologie výzkumu politiky. Praha, 2020.
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HENDL, J. ? SIEGL, J. ? MOLDAN, M. Základy matematiky, logiky a statistiky pro sociologii a ostatní společenské vědy v příkladech. Praha, 2019.
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Novotná, H., Špaček, O., Šťovíčková Jantulová, M. Metody výzkumu ve společenských vědách. Praha: FHS, 2020.
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PUNCH, K. F. Úspěšný návrh výzkumu. Praha: Portál, 2015.
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