Quantitative Data Analysis: Macro-data in comparative research

General data

Course ID:	3502-ADI-6
Erasmus code / ISCED:	14.2 Kod klasyfikacyjny przedmiotu składa się z trzech do pięciu cyfr, przy czym trzy pierwsze oznaczają klasyfikację dziedziny wg. Listy kodów dziedzin obowiązującej w programie Socrates/Erasmus, czwarta (dotąd na ogół 0) – ewentualne uszczegółowienie informacji o dyscyplinie, piąta – stopień zaawansowania przedmiotu ustalony na podstawie roku studiów, dla którego przedmiot jest przeznaczony. / (0314) Sociology and cultural studies The ISCED (International Standard Classification of Education) code has been designed by UNESCO.
Course title:	Quantitative Data Analysis: Macro-data in comparative research
Name in Polish:	ADI: Analiza danych ilościowych: Dane makrospołeczne w badaniach porównawczych
Organizational unit:	Institute of Sociology
Course groups:	(in Polish) Fak. warsztaty 30 h (semestr zimowy)
ECTS credit allocation (and other scores):	(not available) Basic information on ECTS credits allocation principles: the annual hourly workload of the student’s work required to achieve the expected learning outcomes for a given stage is 1500-1800h, corresponding to 60 ECTS; the student’s weekly hourly workload is 45 h; 1 ECTS point corresponds to 25-30 hours of student work needed to achieve the assumed learning outcomes; weekly student workload necessary to achieve the assumed learning outcomes allows to obtain 1.5 ECTS; work required to pass the course, which has been assigned 3 ECTS, constitutes 10% of the semester student load. view allocation of credits
Language:	Polish
Type of course:	elective courses
Prerequisites (description):	Fluent English required for reading the codebook instructions. Basic experience in using SPSS and Excel is highly appreciated.
Mode:	Classroom
Short description:	The purpose of this course is to enable students to get experience using widely 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. 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.
Full description:	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.
Bibliography:	Basic literature 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. ● Rafałowski, Wojciech. 2018 “Values versus Interests Dynamics of Parliamentary Campaigns” Political Preferences 19. ● 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. ● Rafałowski, Wojciech. 2017. Opisywanie i wyjaśnianie systemu partyjnego. Metody pomiaru. Warszawa: Aspra-JR. ● Taagepera, Rein, Bernard Grofman. 2003. Mapping The Indices of Seats–Votes Disproportionality and Inter-Election Volatility. „Party Politics” 9(6): 659-677.
Learning outcomes:	Has in-depth knowledge of selected methods and techniques of social research, their limitations, specificity and areas of application Is aware of the importance of a reflective and critical approach to the results of social research, analyses and research procedures Knows how to plan and carry out complex qualitative and quantitative empirical research; is aware of the consequences of methodological choices 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 Can plan and carry out a social study using advanced quantitative and qualitative methods and techniques of social research Can use a selected computer program for data analysis, including its advanced functions Can prepare a presentation of a selected problem or study in Polish and in a foreign language Can gather, find, synthesize and critically assess information about social sciences Can argue a thesis using scientific evidence Takes responsibility for planned and performed tasks
Assessment methods and assessment criteria:	Preparation of one’s own dataset accompanied with a codebook or writing a report based on macro data analysis. Class attendance required. Two absences allowed without consequences. Two more need to be justified. Project assignments can be corrected at home and resubmitted for reevaluation. Students’ total workload: 30h in class 20h compulsory readings 40h preparation of the final assignment
Practical placement:	n/a

This course is not currently offered.

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Copyright by University of Warsaw.