Foundations of Quantitative Political Analysis (II)

Continuation of Foundations of Quantitative Political Analysis (I) Development of students' basic analytical skills in quantitative methods. Development of their skills related to the use of computer software for this purpose. Getting them acquainted with the fundamental challenges of using quantitative methods in the social sciences.

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.

Seminar:

MacAonghuis I. (2022). Statistical inference and probability (1st ed.). SAGE Publications.

Martin P. (2022). Linear regression : an introduction to statistical models (1st ed.). SAGE Publications.

Martin P. & Martin P. (2022). Regression models for categorical and count data ed. 1. SAGE Publications.

McCoach D. B. & Cintron D. (2022). Introduction to modern modelling methods (1st ed.). SAGE Publications.

McBee M. (2022). Statistical approaches to causal analysis. SAGE Publications.

Castellani B. C. & Rajaram R. (2022). Big data mining and complexity. SAGE Publications.

Workshop:

McKinney W. (2022). Python for data analysis : data wrangling with pandas numpy and jupyter (Third). O'Reilly Media. and additional online materials.

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)

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.