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09
Апрель

Social and Political Attitudes

2021/2022
Учебный год
ENG
Обучение ведется на английском языке
4
Кредиты
Статус:
Курс обязательный
Когда читается:
1-й курс, 1, 2 модуль

Преподаватели

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

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

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

Course Contents

  • Social and political attitudes: introduction
  • Comparative studies
  • Main approaches to measuring and testing scales
  • Scale invariance
  • Response styles
  • Own project presentation
Assessment Elements

Assessment Elements

  • non-blocking work in Perusall
    Participation in discussions on the Perusall platform is assessed. All comments on the platform must be made before 14.00 on the last working day preceding the day of the seminar (if this requirement was not met, then the grade for work at the seminar may be reduced to "0" points). The grading algorithm takes into account the intensity and quality of reading; the quality, quantity and popularity of the comments left, as well as their even distribution throughout the text. For more details on platform-specific scoring see https://perusall.com/downloads/scoring-examples.pdf
  • non-blocking discussions
  • non-blocking homework
  • non-blocking final exam
    The exam is conducted in the form of a critical review of an article on social/ political attitudes
Interim Assessment

Interim Assessment

  • 2021/2022 1st module
    0.3 * homework + 0.3 * discussions + 0.4 * work in Perusall
  • 2021/2022 2nd module
    0.4 * homework + 0.2 * final exam + 0.2 * work in Perusall + 0.2 * discussions
Bibliography

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.