MVZ405 Research of International Relations

Faculty of Social Studies
Spring 2024
Extent and Intensity
1/1/0. 4 credit(s). Type of Completion: zk (examination).
Teacher(s)
prof. PhDr. Zdeněk Kříž, Ph.D. (lecturer)
Ing. Mgr. Adriana Ilavská, Ph.D. (assistant)
Guaranteed by
prof. PhDr. Zdeněk Kříž, Ph.D.
Department of International Relations and European Studies – Faculty of Social Studies
Contact Person: Olga Cídlová, DiS.
Supplier department: Department of International Relations and European Studies – Faculty of Social Studies
Timetable
Tue 14:00–15:40 P22
Prerequisites
! MVZn4005 Qualitative methods in IR && !NOW( MVZn4005 Qualitative methods in IR )
Knowledge of IR methodology on the bachelor level and higher.
Course Enrolment Limitations
The course is only offered to the students of the study fields the course is directly associated with.
fields of study / plans the course is directly associated with
Course objectives
The course deals with methods of data collection and qualitative methods of data analysis. It aims to provide students with tools for elaborating their master's thesis in high quality. Students will learn how to code data, apply single-case study, comparative study, crisp set QCA and rewise the basics of academic writing.
Learning outcomes
Students will be able to: Independently specify and solve complex problems of IR using appropriate theoretical, conceptual and methodologic apparatus. Analyse key dimensions of international relations (security, economic, energetic, legal, and societal). Apply research methodology in the realm of international relations in expert activities both in public and corporate spheres.
Syllabus
  • 1. Introduction into the course (requirements, outputs, literature) and special compulsory literature. A brief overview of the IR research and the basic terms (science, hypothesis, paradigm etc.), introduction into philosophy of science 2. Developing effective research proposals 3. Text analysis and coding 4. Case study research I. 5. Case study research II. 6. Introduction into the comparative methodology, sets theory and Boolean algebra. Mid-term test I. 7. Introduction into QCA, variants of QCA 8. Crisp set QCA step by step 9. QCA exercise. Treating contradictory rows and logical reminders 10. QCA exercise. Using collective study data 11. QCA exercise. Using collective study data 12.QCA exercise. Using collective study data 13. Academic writing.
Literature
    required literature
  • Beneš, V. - Drulák, P. (2019) Metodologie výzkumu politiky. Praha: Slon.
  • Marek Loužek (ed.) John Stuart Mill. Dvě stě let od narození. Praha: CEP, 43-54.
  • DVOŘÁK, Tomáš, Lukáš FASORA, Bronislav CHOCHOLÁČ, Tomáš MALÝ, Denisa NEČASOVÁ, Zdeňka STOKLÁSKOVÁ and Martin WIHODA. Úvod do studia dějepisu 1 (Introduction to history 1). 1. vyd. Brno: Masarykova univerzita, 2014, 164 pp. ISBN 978-80-210-7012-7. Digitální knihovna FF MU info
  • SEDLÁKOVÁ, Renáta. Výzkum médií : nejužívanejší metody a techniky. Vydání 1. Praha: Grada Publishing, 2014, 539 stran. ISBN 9788024735689. URL info
  • TALEB, Nassim. Černá labuť : následky vysoce nepravděpodobných událostí. Translated by Jan Hořínek. Vyd. 1. Praha: Paseka, 2011, 478 s. ISBN 9788074321283. info
  • Configurational comparative methods : qualitative comparative analysis (QCA) and related techniques. Edited by Benoît Rihoux - Charles C. Ragin. Thousand Oaks: Sage, 2009, xxv, 209. ISBN 9781412942355. info
  • PUNCH, Keith. Úspěšný návrh výzkumu. Translated by Jan Hendl. Vyd. 1. Praha: Portál, 2008, 230 s. ISBN 9788073674687. info
  • POPPER, Karl R. Logika vědeckého bádání. Translated by Jiří Fiala. 1. vyd. Praha: Oikoymenh, 1997, 617 s. ISBN 80-86005. info
  • FAJKUS, Břetislav. Současná filosofie a metodologie vědy. Vyd. 1. Praha: Filosofia, 1997, 135 s. ISBN 80-7007. info
Teaching methods
Lectures serve exclusively only as an introduction into the issue of the course. It is assumed that the main part of the subject matter will be managed through self-studying of the special literature. Practical exercise serve to improve the ability of students to use the given methods and computer software in research.
Assessment methods
1. mid-term written test from lessons 1-7 and 13 (success rate 51 %) and 2. the final oral exam.
Language of instruction
Czech
Further comments (probably available only in Czech)
The course is taught annually.
Listed among pre-requisites of other courses
The course is also listed under the following terms Spring 2015, Spring 2016, Spring 2017, Spring 2018, Spring 2019, Spring 2020, Spring 2021, Spring 2022, Spring 2023, Spring 2025.
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