- Inter-faculty Studies in Bioinformatics and Systems Biology
- Bachelor's degree, first cycle programme, Computer Science
- Bachelor's degree, first cycle programme, Mathematics
- Master's degree, second cycle programme, Bioinformatics and Systems Biology
- Master's degree, second cycle programme, Computer Science
- Master's degree, second cycle programme, Mathematics
(in Polish) Dane makrospołeczne w badaniach porównawczych 3502-FAKL844-OG
The purpose of this course is to enable students to get experience using publically available datasets of social data and providing ways of utilizing them for writing their M.A. thesis. The course includes presentation of the data collections, overlook of their underlying assumptions, structure and content.
Following data collections will be used during the course: Quality of Government, Comparative Political Dataset, World Bank Development Indicators, Comparative Manifesto Project.
Students will be encouraged to create their own datasets for quantitative research by finding ways for coding qualitative data. The course program includes also basic statistical method needed to analyze such data such as interaction effects and lagged variables.
Special attention will be devoted to indicators used for quantitative research in political sociology for party system research.
Type of course
Prerequisites (description)
Learning outcomes
K_W12 Has in-depth knowledge of selected methods and techniques of social research, their limitations, specificity and areas of application
K_W13 Is aware of the importance of a reflective and critical approach to the results of social research, analyses and research procedures
K_W14 Knows how to plan and carry out complex qualitative and quantitative empirical research; is aware of the consequences of methodological choices
K_W15 Has advanced and practically applicable knowledge about statistical description and inference
K_U05 Can independently form and verify judgments about the causes of selected social phenomena
K_U06 Can use theoretical categories and research methods in the description and analysis of social and cultural changes in modern societies, as well as their consequences
K_U09 Can select and adjust proper research methods and techniques (including advanced ones) to perform an analysis of a particular social problem
K_U10 Can plan and carry out a social study using advanced quantitative and qualitative methods and techniques of social research
K_U11 Can interpret a social phenomenon using advanced statistical methods
K_U12 Can use a selected computer program for data analysis, including its advanced functions
K_K05 Can gather, find, synthesize and critically assess information about social sciences
K_K06 Can argue a thesis using scientific evidence
K_K14 Takes responsibility for planned and performed tasks
Assessment criteria
Preparation of one’s own dataset accompanied with a codebook or writing a report based on macro data analysis. Class attendance required.
Bibliography
Basic literatere includes codebooks of datasets and the following:
• Brambor, Thomas, William Roberts Clark, Matt Golder. 2006. Understanding Interaction Models: Improving Empirical Analyses. „Political Analysis” 14: 63–82.
• Jaccard, James, Robert Turrisi. 2003. Interaction Effects in Multiple Regression. Second Edition. Thousand Oaks, London, New Delhi: Sage Publications Inc, p.1-43.
• Tavits, Margit, Natalia Letki. 2014. From Values to Interests? The Evolution of Party Competition in New Democracies. „Journal of Politics” 76 (1): 246-258.
• Lissowski, Grzegorz, Jacek Haman, Mikołaj Jasiński. 2011. Podstawy statystyki dla socjologów. Zależności statystyczne. Tom 2. Warszawa: Wydawnictwo Naukowe Scholar, p. 158-161, 216-221.
• Markowski, Radosław. 2003. Propozycja „Manifesto Research Group”: Metoda, wyniki, problemy – komentarz”. In: Radosław Markowski - (ed.), System partyjny i zachowania wyborcze
Dekada polskich doświadczeń”. Warszawa: Instytut Studiów Politycznych PAN, Friedrich Ebert Stiftung
• Metcalf, Lee Kendall. 2000. Measuring Presidential Power. „Comparative Political Studies” 33(5): 660-685.
• Powell, Eleanor N., Joshua A. Tucker. 2013. Revisiting Electoral Volatility in PostCommunist Countries: New Data, New Results and New Approaches. „British Journal of Political Science” 44 (1): 123-147.
• Taagepera, Rein, Bernard Grofman. 2003. Mapping The Indices of Seats–Votes Disproportionality and Inter-Election Volatility. „Party Politics” 9(6): 659-677.
Additional information
Information on level of this course, year of study and semester when the course unit is delivered, types and amount of class hours - can be found in course structure diagrams of apropriate study programmes. This course is related to the following study programmes:
- Inter-faculty Studies in Bioinformatics and Systems Biology
- Bachelor's degree, first cycle programme, Computer Science
- Bachelor's degree, first cycle programme, Mathematics
- Master's degree, second cycle programme, Bioinformatics and Systems Biology
- Master's degree, second cycle programme, Computer Science
- Master's degree, second cycle programme, Mathematics
Additional information (registration calendar, class conductors, localization and schedules of classes), might be available in the USOSweb system: