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Аспирантура 2020/2021

Дизайн политического исследования

Статус: Курс обязательный
Направление: 41.06.01. Политические науки и регионоведение
Когда читается: 1-й курс, 1 семестр
Формат изучения: без онлайн-курса
Преподаватели: Маркварт Кайл Лоус
Язык: английский
Кредиты: 3
Контактные часы: 36

Course Syllabus

Abstract

In this course, students will learn cutting-edge methods for designing social-scientific research projects, with particular emphasis on political science. Topics will include general overviews of philosophy of social science and causal inference, as well as case selection, measurement and ethics. While the course will focus on positivist approaches, the course will be broadly applicable to students with a variety of methodological and ontological approaches.
Learning Objectives

Learning Objectives

  • Developing familiarity with key aspects of social scientific research design and their application, as well as awareness of resources and skills to develop in order to pursue different research agendas.
Expected Learning Outcomes

Expected Learning Outcomes

  • Students will learn how to apply key elements of research design to their own research.
  • Students will learn how to critique the work of other scholars using principles learned in the course.
Course Contents

Course Contents

  • Course Plan
    The course will consist of 9 classes. The first seven classes will take place in the second module (November-December). Each of these classes will be divided into 1) in-class presentation and discussions of student research, and 2) a lecture in which students will be introduced to the theoretical and practical issues involved in an aspect of research design. In the remaining two classes (held in January) students will present and discuss their research designs, in preparation for their final papers (due February) More specifically, the plan is as follows:
  • Class 1: Introduction to causality vs. descriptive inference
  • Class 2: Causality: experiments and natural experiments
  • Class 3: Causality: observational analysis
  • Class 4: Case selection
  • Class 5: Qualitative vs. quantitative research
  • Class 6: Measurement and data
  • Class 7: Research transparency and ethics
  • Class 8-9: In-class presentations
Assessment Elements

Assessment Elements

  • non-blocking Participation
  • non-blocking Homework
  • non-blocking Presentations
  • non-blocking Final project
Interim Assessment

Interim Assessment

  • Interim assessment (1 semester)
    0.4 * Final project + 0.2 * Homework + 0.27 * Participation + 0.13 * Presentations
Bibliography

Bibliography

Recommended Core Bibliography

  • Adcock, R., & Collier, D. (2001). Measurement Validity: A Shared Standard for Qualitative and Quantitative Research. https://doi.org/10.1017/s0003055401003100
  • Darden, K., & Grzymala-Busse, A. (2006). The Great Divide: Literacy, Nationalism, and the Communist Collapse. https://doi.org/10.1353/wp.2007.0015
  • FINKEL, E. (2015). The Phoenix Effect of State Repression: Jewish Resistance during the Holocaust. https://doi.org/10.1017/s000305541500009x

Recommended Additional Bibliography

  • Coppedge, M., Gerring, J., Altman, D., Bernhard, M., Fish, S., Hicken, A., Kroenig, M., Lindberg, S. I., McMann, K., Paxton, P., Semetko, H. A., Skaaning, S.-E., Staton, J., & Teorell, J. (2011). Conceptualizing and Measuring Democracy: A New Approach. https://doi.org/10.1017/s1537592711000880
  • Rhodes, R. A. W., & Bevir, M. (2015). Routledge Handbook of Interpretive Political Science. London: Routledge. Retrieved from http://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=edsebk&AN=1021249
  • Wright, G. H. von. (2009). Explanation and Understanding. Routledge.