Foundations of Quantitative Political Analysis (II) 2102-ANG-L-D3FQPA
Seminar:
1. Statistical Inference & Probability
2. Archival & Secondary Data
3. Linear Regression: An Introduction to Statistical Models
4. Regression Models for Categorical & Count Data
5. Introduction to Modern Modelling Methods
6. Statistical Approaches to Causal Analysis
7. Big Data Mining & Complexity
8. Test
Workshop:
1. Database (I)
2. Database (II)
3. Data collection (I)
4. Data collection (II)
5. Combining data (I)
6. Combining data (II)
7. Data cleaning (I)
8. Data cleaning (II)
9. Data visualization (I)
10. Data visualization (II)
11. Statistical tests (I)
12. Statistical tests (II)
13. Regression models (I)
14. Regression models (II)
15. Mock exam
Each workshop topic is divided into two sections. The first one is the introduction to a specific topic. The second one is devoted to students' assignments.
Course coordinators
Learning outcomes
Students can perform simple quantitative analysis, starting from obtaining a dataset through its cleaning and ending with simple statistical tests and the use of simple regression models. (K_U05-K_U08, K_K01-K_K03)
Students are familiar with the basic dilemmas related to the use of quantitative methods in political science research. (K_W01, K_K01-K_K03)
Assessment criteria
The course ends with a written exam during which students will be required to perform several analytical tasks using appropriate software. In order to take the exam, students will have to pass the test ending the seminar and all the tasks carried out during the workshop.
A student may have one unexcused absence at the seminar and two unexcused absences at the workshop. The teacher must account for all additional absences. The maximum number of absences from the course is 4.
Additional information
Additional information (registration calendar, class conductors, localization and schedules of classes), might be available in the USOSweb system: