FSS:SOCn5024 Multivariate statistical techn - Course Information
SOCn5024 Multivariate statistical techniques
Faculty of Social StudiesSpring 2025
- Extent and Intensity
- 1/1/0. 12 credit(s). Type of Completion: zk (examination).
- Teacher(s)
- prof. PhDr. Tomáš Katrňák, Ph.D. (lecturer)
- Guaranteed by
- prof. PhDr. Tomáš Katrňák, Ph.D.
Department of Sociology – Faculty of Social Studies
Contact Person: Ing. Soňa Enenkelová
Supplier department: Department of Sociology – Faculty of Social Studies - Timetable
- Tue 10:00–11:40 PC54
- Prerequisites
- Knowledge of statistics at the undergraduate level.
- Course Enrolment Limitations
- The course is also offered to the students of the fields other than those the course is directly associated with.
- fields of study / plans the course is directly associated with
- Gender studies (programme FSS, N-SOC)
- Population studies (programme FSS, N-SOC)
- Social Anthropology (programme FSS, N-SOC)
- Sociology (programme FSS, N-SOC)
- Course objectives
- The aim of the course is to teach students advanced techniques of statistical data analysis.
- Learning outcomes
- Graduates of this course will be able to:
- perform complex statistical analyses that will allow them to formulate relevant (almost causal) conclusions about complex relationships between independent variables and their effects on the dependent variable;
- understand the results of analyses published in this way in contemporary sociological peridodicals;
- propose a research design that includes the above mentioned advanced methods of analysis. - Syllabus
- Logic of dependent and independent variable.
- Regression analysis.
- Contingency tables.
- Logistic regression.
- Log-linear analysis.
- Explorative techniques.
- Literature
- recommended literature
- SOUKUP, Petr. Pokročilá analýza dat v SPSS a AMOS. 1st ed. Brno: Masarykova univerzita, 2022, 285 pp. ISBN 978-80-210-9935-7. info
- RABUŠIC, Ladislav, Petr SOUKUP and Petr MAREŠ. Statistická analýza sociálněvědních dat (prostřednictvím SPSS). 2., přepracované vydání. Brno: Masarykova univerzita, 2019, 573 stran. ISBN 9788021092488. URL info
- Teaching methods
- Lectures and exercises in the computer laboratory, home exercises
- Assessment methods
- Written exam: tests theoretical knowledge of statistical concepts + ability to solve specific statistical problems
- Language of instruction
- Czech
- Further comments (probably available only in Czech)
- Study Materials
General note: Předmět nebude vyučován pokud si ho zapíše méně než 5 studujících.
- Enrolment Statistics (recent)
- Permalink: https://is.muni.cz/course/fss/spring2025/SOCn5024