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  2. NOVA School of Social Sciences and Humanities
  3. PhD in Political Science
  4. Specialization in Theory and Political Analysis
  5. Methodologies in Political Science

Methodologies in Political Science

Objectives

It is intended that students acquire and develop:
a) Methodological knowledge and skills to design and manage, in an integrated and evolutionary manner, a research project leading to dissertation.
b) Knowledge and understanding of the main methodological instruments and options available for research in Social Sciences, namely through historical-comparative methods.
c) Ability to present and discuss critical and reflexive research projects.

General characterization

Code

73207100

Credits

10.0

Responsible teacher

João Camacho Giestas Cancela

Hours

Weekly - 2

Total - 280

Teaching language

Portuguese

Prerequisites

None

Bibliography

  • Box-Steffensmeier, J. M., Brady, H. E., and Collier, D. (Eds.). (2008). The Oxford Handbook of Political Methodology. Oxford University Press.
  • Gerring, J. (2012). Social science methodology a unified framework. Cambridge University Press.
  • Goodin, R. E., and Tilly, C. (Eds.). (2006). The Oxford Handbook of Contextual Political Analysis. Oxford University Press.
  • King, G., Keohane, R., and Verba, S. (1994). Designing social inquiry scientific inference in qualitative research. Princeton University Press.
  • Porta, D. della, and Keating, M. (2008). Approaches and methodologies in the social sciences: A pluralist perspective. Cambridge University Press.
  • Toshkov, D. (2016). Research design in political science. Palgrave.

Os capítulos relevantes de cada obra são indicados no programa detalhado.

Teaching method

Teaching methods: instructor lectures; presentation and discussion of texts and
assignments by the students.

Evaluation method

Ensaio final - Final essay(60%), in-class constructive participation(10%), presentation and discussion of texts in-class and in written assignments(30%)

Subject matter

1. Methodologies and methods in political science: a survey of the main
perspectives and approaches
2. Research design: overview and general aspects
3. Topic choice and literature review
4. Conceptualization and generation of hypotheses
5. Case selection
6. Choice of data analysis techniques
7. Description and causality
8. Interpreting results and developing theories