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)
- PhDr. Petr Soukup, 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 - Prerequisites
- ! NOW ( SOCn4008 Multivariate statistical techn )&&! SOCn4008 Multivariate statistical techn
Knowledge of statistics at the undergraduate level, ability to use statistical software, preferably SPSS (but others as well). - Course Enrolment Limitations
- The course is also offered to the students of the fields other than those the course is directly associated with.
The capacity limit for the course is 10 student(s).
Current registration and enrolment status: enrolled: 0/10, only registered: 0/10, only registered with preference (fields directly associated with the programme): 0/10 - 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 analysis, especially stucture modelling and multilevel modelling.
- 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
- Introduction to structural modelling.
- Path analysis.
- Confirmatory factor analysis.
- Multilevel modelling.
- Correspondence analysis.
- Latent class analysis.
- Literature
- required 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
- 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)
- The course is taught: every week.
General note: Předmět nebude vyučován pokud si ho zapíše méně než 5 studujících. - Listed among pre-requisites of other courses
- Teacher's information
- Teaching: Block teaching, 4 blocks Fridays:
17. 2.: 12.00-17.30
17. 3.: 12.00-17.30
21. 4.: 12.00-17.30
12. 5.: 12.00-17.30
- Enrolment Statistics (Spring 2025, recent)
- Permalink: https://is.muni.cz/course/fss/spring2025/SOCn5024