Předmět Introduction to Political Analysis (MVZ238)

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Materiál	Typ	Datum	Počet stažení

Cíl

By the end of the course, students will be able to do the following: Understand basic research-design concepts such as variable, hypothesis, causality etc.Explain how political scientists generate knowledge, including discussion of research designs.Manage data in a Stata statistical software.Quantitatively analyze data and interpret the analysis.

Osnova

Course descriptionWhy do some democracies fall an other remain stable? What are the causes of war? Why do some people vote and others don't? These are only some of the many important questions studied by political scientists. In this course, students learn about how political scientists study the political world. In addition to discussing theoretical concepts, the course puts a great emphasis on learning practical data-analysis skills. Such skills are valuable in students' professional development as well as in academic work (term papers, bachelor or master theses).In the theoretical part of the course, students learn about what a causal relationships are and what research designs scientists use to establish causal relationships. In the practical part, students acquire basic data-analysis skills such as describing variables in tables and graphs, transforming variables, making comparisons, and performing a multivariate analysis. Course outline:Week 1: IntroductionWeek 2: Seeing the world as a political scientist: What does it mean?Week 3: Establishing causal relationships. How do we know that there is a causal relationship?Week 4: Research design. What are the strategies to investigate causal relationships?Learning practical skills: Introduction to StataWeek 5: Measurement. How do we measure concepts of interest?Developing analytical skills: Descriptive statisticsWeek 6: Learning practical skills: Transforming variables and labeling variables.Week 7: Midterm examWeek 8: Learning practical skills: Making comparisons.Week 9: Learning practical skills: Making controlled comparisons.Week 10: Learning about the population from a sample: Statistical inference.Learning practical skills: Comparison of means.Week 11: Learning practical skills: CorrelationWeek 12: Linear regressionWeek 13: Learning practical skills: Linear regression.

Literatura

Required readings will be available online or in the library.

Požadavky

None

Garant

PhDr. Petr Suchý, Ph.D.

Vyučující

Zuzana Ringlerová, Ph.D.