Master
2022/2023![Learning Objectives](/f/src/global/i/edu/objectives.svg)
![Expected Learning Outcomes](/f/src/global/i/edu/results.svg)
![Course Contents](/f/src/global/i/edu/sections.svg)
![Assessment Elements](/f/src/global/i/edu/controls.svg)
![Interim Assessment](/f/src/global/i/edu/intermediate_certification.svg)
![Bibliography](/f/src/global/i/edu/library.svg)
Social and Political Attitudes
Type:
Elective course (Comparative Politics of Eurasia)
Area of studies:
Political Science
When:
2 year, 1, 2 module
Mode of studies:
offline
Open to:
students of all HSE University campuses
Instructors:
Daniil A. Alexandrov,
Darya Konstantinovna Khodorenko,
Eduard Ponarin,
Andrey N. Scherbak,
Ksenia Tenisheva
Master’s programme:
Comparative Politics of Eurasia
Language:
English
ECTS credits:
6
Contact hours:
48
Course Syllabus
Abstract
The aim of the course is to teach students the skills of analyzing social and political attitudes. Students will learn what are attitudes and how they are studied in social and political sciences, which open databases are widely used, which analytical approaches are applied.
Learning Objectives
- The aim of the course is to give the students the theoretical and methodological knowledge of the nature of social and political attitudes and the main approaches to their analysis. Students will also learn the most useful statistical methods to analyze the attitudes in the comparative perspective
Expected Learning Outcomes
- Able to analyze empirical data (political, economic and sociological research) using modern qualitative and quantitative methods and using appropriate software
- Able to use modern empirical databases (including foreign ones) in scientific and project activities, independently create databases for the implementation of research and practical tasks
- Able to develop the design of scientific and applied research, including that carried out by a team, based on modern methodologies of political science and general scientific approaches
- Able to use the current results of scientific research in political science and related disciplines, develop applications of political science for solving practical problems of professional activity
Course Contents
- Social and political attitudes: introduction
- Transformation of Russia 1982--2017, WVS data
- Modernization and religion in the West and in the rest of the world
- From love to hate: Russia and the USA after 1991
- Attitudes to the institutions of the EU
- Data on attitudes
- Ethnic discrimination
- Conservatism and ethnic discrimination
- Own project presentation
Assessment Elements
- in-class activitiesActivity in the class during seminars: students are expected to ask meaningful questions and participate in group discussions. Attendance of classes as such doesn't count as activity.
- PerusallStudents will be assigned all the reading in Perusall. They have to read the texts and leave certain number of comments there
- ProjectsAt the beginning of the course, students will be given 4 tasks, and will have to choose two of them. These tasks have to be submitted 2 weeks before the session in December. These tasks are small full-cycle projects on attitudes, which require developing a framework, choosing a fitting methodology and conducting some data analysis.
- final examAt the end of the course, students will have to submit a research proposal for a project on attitudes. They will have to make a presentation first, and then submit the text.
Interim Assessment
- 2022/2023 2nd module0.2 * Perusall + 0.3 * final exam + 0.4 * Projects + 0.1 * in-class activities
Bibliography
Recommended Core Bibliography
- Agresti, A., & Finlay, B. (2014). Statistical Methods for the Social Sciences: Pearson New International Edition (Vol. Pearson new international ed., 4. ed). Harlow England: Pearson. Retrieved from http://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=nlebk&AN=1418314
- Stowell, S. (2014). Using R for Statistics. Berkeley, CA: Apress. Retrieved from http://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=edsebk&AN=1174344
- Upton, G. J. G. (2016). Categorical Data Analysis by Example. Hoboken, New Jersey: Wiley. Retrieved from http://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=edsebk&AN=1402878
Recommended Additional Bibliography
- Little, T. D. (2013). The Oxford Handbook of Quantitative Methods. Oxford University Press.