MVZ015 Research Methods in Political Science II

Faculty of Social Studies
Autumn 2018
Extent and Intensity
1/1/0. 2 credit(s). Recommended Type of Completion: z (credit). Other types of completion: zk (examination).
Teacher(s)
doc. Mgr. Petr Ocelík, Ph.D. (lecturer)
Mgr. Lukáš Lehotský, Ph.D. (assistant)
Guaranteed by
prof. PhDr. Vít Hloušek, Ph.D.
Department of International Relations and European Studies – Faculty of Social Studies
Contact Person: doc. Mgr. Petr Ocelík, Ph.D.
Supplier department: Department of International Relations and European Studies – Faculty of Social Studies
Course Enrolment Limitations
The course is only offered to the students of the study fields the course is directly associated with.

The capacity limit for the course is 20 student(s).
Current registration and enrolment status: enrolled: 0/20, only registered: 0/20
fields of study / plans the course is directly associated with
Course objectives
This course provides a concise hands-on introduction to linear regression and social network analysis (SNA). In the first day, the participants will learn how to apply bivariate and multivariate linear regression models aided by visualizations and applied examples. In the second day, the participants will be familiarized with basic SNA measures at the network (how dense is the network?), node (who is central?), and subgroup (who is connected to whom?) levels of analysis. The course relies on the R language.
Learning outcomes
The participants will learn (1) how to apply multivariate linear regression including basic diagnostics, and (2) how to apply descriptive social network analysis in R/R Studio software.
Syllabus
  • Day 1:
  • hypothesis testing
  • simple linear regression
  • multivariate linear regression
  • Day 2:
  • social network analysis assumptions
  • network and node level measures
  • dyadic census, triadic census, and cohesive subgroups measures
  • Course information will be updated in the syllabus
Literature
  • ROBINS, Garry. Doing social network research : network-based research design for social scientists. First published. Los Angeles: Sage, 2015, xiv, 261. ISBN 9781446276136. info
  • BORGATTI, Stephen P., Martin G. EVERETT and Jeffrey C. JOHNSON. Analyzing social networks. Thousand Oaks, Calif.: Sage, 2013, viii, 296. ISBN 9781446247419. info
  • KELLSTEDT, Paul M. and Guy D. WHITTEN. The fundamentals of political science research. 2nd ed. Cambridge: Cambridge University Press, 2013, xxiv, 316. ISBN 9781107621664. info
  • WASSERMAN, Stanley and Katherine FAUST. Social network analysis : methods and applications. 1st ed. Cambridge: Cambridge University Press, 1994, xxxi, 825. ISBN 9780521387071. info
Teaching methods
lectures, workshops, assignments
Assessment methods
assignments grading
Language of instruction
English
Further comments (probably available only in Czech)
Study Materials
The course can also be completed outside the examination period.
The course is taught annually.
The course is taught: in blocks.
The course is also listed under the following terms Autumn 2017.
  • Enrolment Statistics (recent)
  • Permalink: https://is.muni.cz/course/fss/autumn2018/MVZ015