Course Schedule


Lehrveranstaltungen

Methods of Political Science: Introduction to Quantitative Methods (Seminar)

Dozent/in: Olga Griaznova

Termin:
Einzeltermin | Fr, 15.01.2021, 14:00 - Fr, 15.01.2021, 18:00 | Online-Veranstaltung
Einzeltermin | Sa, 16.01.2021, 10:00 - Sa, 16.01.2021, 18:00 | Online-Veranstaltung
Einzeltermin | Fr, 29.01.2021, 14:00 - Fr, 29.01.2021, 18:00 | Online-Veranstaltung
Einzeltermin | Sa, 30.01.2021, 10:00 - Sa, 30.01.2021, 18:00 | Online-Veranstaltung

Inhalt: The course Methods of Political Science: Introduction to Quantitative Methods proposes the discussion of theoretical background and practical implications of quantitative empirical research. Teaching includes lectures explaining the basic theoretical principles of quantitative methods and lab sessions focusing on basic quantitative techniques, specific exercises, and hands-on training in STATA. Students should complete the assigned reading before theoretical sessions. Since the reading for practical sessions is quite demanding, the course participants need to look through the content of the chapters in advance to shape expectations and questions for the day of class. Some tasks and assignments in the literature we will go through together in class using STATA. The principal purpose of the course is to teach participants how to initiate and design their own empirical research, how to get data, how to do data analysis and interpret results. More specifically, students will learn what means measurement in social and political sciences, how to measure evidence, which scales to use and how to deal with different scales, how to manage data, get descriptive statistics and run regression analysis using the software package STATA. The outcome of the course is a presentation of research proposals and subsequent submissions of research papers based on knowledge and skills acquired during the course. An essential condition for a successful research paper is a discussion about a research problem, a research question, measurement, research design, presentation of descriptive statistics and associations, and a discussion of the limitations of the applied method for the subsequent improvement of the model.