Quantitative Data Analysis

General data

Course ID:	3502-ADI-2
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
Name in Polish:	ADI: Analiza danych ilościowych
Organizational unit:	Institute of Sociology
Course groups:	(in Polish) Fak. warsztaty 30 h (semestr letni)
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):	(in Polish) Znajomość statystyki w zakresie podstawowym. Opanowane podstawy pracy z SPSS Opanowany kurs z podstaw statystyki (licencjat) Ukończone zajęcia SPSS (licencjata)
Short description:	The workshop is devoted to preparation to adavanced data analysis. The classes are practically oriented – they are held in Computer Laboratory with sociological data using SPSS. The list of topics is aimed to prepare use of the basic advanced method of data analysis. They are recognizing types of variables and assigned to them measures of central tendency. Then they are measures of associations: chi-square, correlation and one-way variance. Next they are multivariate analysis: typology (factor analysis, and cluster analysis) and causal multivariate analysis: linear regression, analysis of variance with interactions.
Full description:	The workshop is devoted to preparation to adavanced data analysis. The classes are practically oriented – they are held in Computer Laboratory with sociological data using SPSS. The list of topics is aimed to prepare use of the basic advanced method of data analysis. They are recognizing types of variables and assigned to them measures of central tendency. Then they are measures of associations: chi-square, correlation and one-way variance. Next they are multivariate analysis: typology (factor analysis, and cluster analysis) and causal multivariate analysis: linear regression, analysis of variance with interactions
Bibliography:	Górniak Jarosław, Wachnicki Janusz, Pierwsze kroki w analizie danych, SPSS Polska, Kraków 2000; Babbie Earl, Badania społeczne w praktyce, Wyd. Naukowe PWN, Warszawa 2003; Brzeziński Jerzy, red., Metodologia badań psychologicznych, PWN, Warszawa 2004; Ferguson George, Takane Yoshio. Analiza statystyczna w psychologii i pedagogice. Warszawa, 1999: PWN.
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:	Class attendance and report

This course is not currently offered.

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