FSS:POLn4001 Quantitative Approaches - Course Information
POLn4001 Quantitative Approaches in Political Science
Faculty of Social StudiesAutumn 2024
- Extent and Intensity
- 1/1/0. 7 credit(s). Type of Completion: zk (examination).
In-person direct teaching - Teacher(s)
- doc. Mgr. Peter Spáč, Ph.D. (lecturer)
Mgr. Petr Voda, Ph.D. (lecturer)
Mgr. Tomáš Kratochvíl, Ph.D. (assistant) - Guaranteed by
- doc. Mgr. Peter Spáč, Ph.D.
Department of Political Science – Faculty of Social Studies
Contact Person: Mgr. Lucie Pospíšilová
Supplier department: Division of Politology – Department of Political Science – Faculty of Social Studies - Timetable
- Thu 12:00–15:40 PC25
- Prerequisites (in Czech)
- ! POL593 Quantitative Approaches && !NOW( POL593 Quantitative Approaches )
- 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
- Security and Strategic Studies (Eng.) (programme FSS, N-PL)
- Security and Strategic Studies (programme FSS, N-BSS)
- Security and Strategic Studies (programme FSS, N-PL)
- Political Science (programme FSS, N-PL)
- Political Science (programme FSS, N-POL)
- Electoral studies and political marketing (programme FSS, N-POL)
- Course objectives
- The course builds on the knowledge from the bachelor degree and improves the skills and abilities of students in quantitative insight to political science. Students will learn about tools and techniques of statistical analysis applicable in their studies as well as in their own research.
- Learning outcomes
- At the end of the course students should be able to understand basic statistics tools and methods and realize their own quantitative research. They will learn to work with statistical software SPSS and to perform operations for data analysis (crosstabs, correlation, regression analysis).
- Syllabus
- 1. Introduction, basic features of quantitative methods, terminology 2. Introduction to SPSS, basic work with the data 3. Operations with data and descriptive statistics 4. Crosstabs 5. Correlation 6. Seminar 1 7. ANOVA analysis 8. Linear regression 9. Logistic regression. 10. Seminar 2
- Literature
- required literature
- MAREŠ, Petr, Ladislav, RABUŠIC a Petr SOUKUP. Základy dvourozměrné (bivariační) analýzy kategoriálních proměnných. In: MAREŠ, Petr, Ladislav, RABUŠIC a Petr SOUKUP (eds.). Analýza sociálněvědních dat (nejen) v SPSS. Brno: Munipress. 2015, s. 243. – 264.
- FIELD, Andy P. Discovering statistics using SPSS : (and sex, drugs and rock 'n' roll). 3rd ed. Los Angeles: Sage, 2009, xxxiii, 82. ISBN 9781847879073. info
- HENDL, Jan. Přehled statistických metod : analýza a metaanalýza dat. 3., přeprac. vyd. Praha: Portál, 2009, 695 s. ISBN 9788073674823. info
- Teaching methods
- Lectures and seminars.
- Assessment methods
- Regular preparations (6 tasks for 7 points = 42 points) and a final examination (58 points)
- Language of instruction
- Czech
- Further Comments
- Study Materials
The course is taught annually. - Listed among pre-requisites of other courses
- Enrolment Statistics (recent)
- Permalink: https://is.muni.cz/course/fss/autumn2024/POLn4001