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Master´s Thesis Seminar II. - JPM603
Anglický název: Master´s Thesis Seminar II.
Zajišťuje: Katedra politologie (23-KP)
Fakulta: Fakulta sociálních věd
Platnost: od 2019
Semestr: letní
E-Kredity: 9
Způsob provedení zkoušky: letní s.:
Rozsah, examinace: letní s.:0/2, Z [HT]
Počet míst: neurčen / neurčen (15)
Minimální obsazenost: neomezen
4EU+: ne
Virtuální mobilita / počet míst pro virtuální mobilitu: ne
Stav předmětu: vyučován
Jazyk výuky: angličtina
Způsob výuky: prezenční
Způsob výuky: prezenční
Poznámka: povolen pro zápis po webu
Garant: doc. Michel Perottino, Ph.D.
Třída: Courses not for incoming students
Neslučitelnost : JPM737
Je neslučitelnost pro: JPM737
Je záměnnost pro: JPM427
Soubory Komentář Kdo přidal
stáhnout DPTX_2015_2_11230_0_446885_0_168218.pdf reading for March 14th RNDr. Jan Kofroň, Ph.D.
Anotace - angličtina
Poslední úprava: RNDr. Jan Kofroň, Ph.D. (01.02.2021)
Master thesis seminar is not a classical course.
It is a course/seminar devoted to writting your thesis under supervision of your supervisor!

It is your supervisor who will decide how often you should meet!
It is your supervisor who will fill in your grade i nthe SIS.

Contact your supervisor!
Cíl předmětu - angličtina
Poslední úprava: RNDr. Jan Kofroň, Ph.D. (02.10.2013)

 

Master Thesis Seminar II. builds on the MT I. seminar and is intended for students preparing their master thesis. Therefore, it is expected, that participants have well-developed idea of their master thesis topic and general research questions. The aim of this course is to sharpen these research questions and to polish methodological aspects of students´ work. 

We will discuss some advanced methodological issues in the course of the semester and students are expected to participate actively. MT II. seminar provides an opportunity to discuss specific problems of students´ works (problems with deduction of hypothesis, problems with measurement and operationalization, issues of epistemological choices and namely problems with research-question framing etc.).

 At the end of the semester, students should polish and finalize methodological chapter of their master theses.

 

Requirements:

 

(i) Active participation

 

(ii) Presentation of a methodological problem related to a student’s thesis (12-15 minutes)

 

(iii) Short review on a methodological book or article (related to the master thesis) - 2-4 000 words.

 

(iv) Outline of a methodological chapter of the master thesis by the end of the semester.

 

Podmínky zakončení předmětu - angličtina
Poslední úprava: RNDr. Jan Kofroň, Ph.D. (04.03.2019)

 

(i) Active participation (hw´s etc.)

(ii) Presentation of a methodological problem related to a student’s thesis (12-15 minutes)

(iii) Final test (50 %)

Literatura - angličtina
Poslední úprava: RNDr. Jan Kofroň, Ph.D. (04.09.2013)

Useful literature dealing with qualitative and multi-method research and philosophy of the social sciences.

 

BENNETT, A., ELMAN, C. (2007): Case study methods in the international relations subfield  Comparative Political Studies, Vol. 40, 2, pp. 170-194

BENNETT, A., ELMAN, C. (2006): Complex Causal Relationship and Case Study Methods: The Example of Path Dependence, Political Analysis, 14, s. 250-267.

BRAUMOELLER, B., GOERTZ, G. (2000): The methodology of necessary conditions. American Journal of Political Science, 44, č. 4, s. 844-858.

CHALMERS, A. (1999): What is the Think Called Science. Hackett Publishing Co.; 3 edition, Indianapolis, 200 s.

COLLIER, D. (2011): Understanding Process Tracing. PS Political science and politics, 44, č. 4, s. 823-830.

ELMAN, C. (2005): Explanatory Typologies in Qualitative Studies of International Politics. International Organization, 59, č. 2, s. 293-326.

Fearon, J. (1991): Counterfactuals and hypothesis testing. World Politics, 43, č. 2, s. 169-195.

Flyvbjerg, B. (2006): Five Misunderstandings About Case-Study Research. Qualitative Inquiry, 12, č. 2, s. 219-245.

George, A., Bennett, A. (2005): Case Studies and Theory Development in the Social Sciences. MIT Press, Cambridge, 350 s.

GERRING, J. (1999): What Makes a Concept Good? An Integrated Framework for Understanding Concept Formation in the Social Sciences. Polity31, č. 3, s. 357-393.

GERRING, J. (2004): What is a Case Study and What is it Good For? American Political Science Review, 98, č. 2, s. 341-354.

Gerring, J. (2006): Single Outcome Studies, A Methodological Primer, International Sociology, vol. 21, no. 5, s. 707-734.

Gerring, J. (2007): Is There a (Viable) Crucial-Case Method? Comparative Political Studies 40, č. 3, s. 231-53.

GERRING, J., MCDERMOTT, R. (2007): An Experimental Template for Case Study Research, American Journal of Political Science, Vol. 51, No.3, s. 688-701.

Gerring, J., Seawright, J. (2008): Case Selection Techniques in Case Study Research, A Menu of Qualitative and Quantitative Options. Political Research Quarterly, 61, no. 2, s. 294-308.

GERRING, J. (2010): Causal Mechanisms: Yes, But…, Comparative Political Studies, vol. 43, no. 11, s. 1499-1526.

GERRING, J. (2012a): Mere Description. British Journal of Political Science , forthcomming, 32 s.

Grynaviski, E. (2012): Contrasts, conterfactuals and causes. European Journal of International Relations, 0(0) forthcomming - s. 1-24.

KING, G., KEOHANE, R., VERBA, S. (1994): Designing Social Inquiry: Scientific Inference in Qualitative Research. Princeton University Press, Princeton, 300 s.

KOŘAN, M. (2009): Jakou cestou po pozitivismu? Pragmatismus a vědecký realismus a jejich role ve výzkumu mezinárodních vztahů. Mezinárodní vztahy, č. 1, s. 7-36.

Levy, J. (2008a): Case Studies: Types, Designs, and Logics of Inference. Conflict Management and Peace Science, 25, č. 1, s. 1-18.

LEVY, J. (2008b): Counterfactuals and Case Studies. In: Steffensmeier, J., Brady, H., Collier, D. (eds). Oxford Handbook of Political Methodology. Oxford University Press, New York, s. 627-644.

LIEBERMAN, A. (2005): American Political Science Review, 99, č. 3, s. 435-452.

Lijphart, A. (1971): Comparative Politics and Comparative Method. The American Political Science Review, 65, č. 3, s. 682-693.

MACDONALD, P. (2003): Useful Fiction or Miracle Maker: The Competing Epistemological Foundations of Rational Choice Theory. American Political Science Review, 97, č. 4, s. 551-565.

MAHONEY, J. (2000): Path Dependence in Historical Sociology. Theory and Society, 29, č. 4, s. 507-548.

MAHONEY, J. (2010): After KKV, The New Methodology of Qualitative Research, World Politics, Vol. 62, 1. s. 120-147.

MAHONEY, J., GOERTZ, D. (2004): The Possibility Principle: Choosing Negative Cases in Comparative Research. American Political Science Review, 98, č. 4, s. 653-669.

Monteiro, N., Ruby, K. (2009): IR and the False Promise of Philosophical Foundations, International Theory, 1, č. 1, s. 15-48.

RAGIN, C. (1987): Comparative Method, Moving Beyond Qualitative and Qantitative research, University of California Press, Los Angeles, 218 s.

RAGIN, C. (2008): Redesigning Social Inquiry: Fuzzy Sets and Beyond. University Of Chicago Press, Chicago, 240 s.

RUZZENE, A. (2012): Drawing Lessons from Case Studies by Enhancing Comparability. Philosophy of the Social Sciences, 42, č. 1, s. 99-120.

Sayer, A. (1992): Method in Social Science. Routledge, London, 313 s.

Sayer, A. (2000): Realism and Social Science. Sage Publications, London, 224 s.

Sylabus - angličtina
Poslední úprava: RNDr. Jan Kofroň, Ph.D. (04.03.2019)

Generally, we will discuss several key topics of quantitative research. Further we will focus on the possibility of intercommunication between quantitative and qualitative research.

  

1) Intro + organisation

2) Univariate statistics (Modus, Median, Mean, Standard Deviation)

Using excel for visualization of data

3) Probability distributions, Normal Curve, z-scores

4) Statistical inference I. 

- sampling

- samples and populations

- hypothesis testing

- estimating population parameters

5) Bivariate statistics I. 

- t-test, chi-test, F-test

6) Bivariate statistics II.

-correlation (Pearson vs. Spearmen)

- visualization (in excell/R)

7) Bivariate Regression I.

- assumptions + limits

- interpreting coeficcients (b0, b1, R2 etc.)

8) Bivariate regression II.

- residuals (heteroscedasticity/homoscedasticity)

9) Multivariate regression

10) Causal inference

-------------------------

11) project presentatins I.

12) project presentations II.

 
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