SOCn5024 Multivariate statistical techniques

Faculty of Social Studies
Spring 2024
Extent and Intensity
1/1/0. 12 credit(s). Type of Completion: zk (examination).
Teacher(s)
prof. PhDr. Ladislav Rabušic, CSc. (lecturer)
PhDr. Petr Soukup, Ph.D. (lecturer), prof. PhDr. Ladislav Rabušic, CSc. (deputy)
Guaranteed by
prof. PhDr. Ladislav Rabušic, CSc.
Department of Sociology – Faculty of Social Studies
Contact Person: Ing. Soňa Enenkelová
Supplier department: Department of Sociology – Faculty of Social Studies
Timetable
Thu 22. 2. 8:00–9:40 U34, 8:00–9:40 PC25, 10:00–11:40 U34, 10:00–11:40 PC25, 12:00–13:40 U34, Thu 7. 3. 10:00–11:40 U34, 10:00–11:40 PC25, 12:00–13:40 U34, Thu 4. 4. 8:00–9:40 U34, 8:00–9:40 PC25, 10:00–11:40 U34, 10:00–11:40 PC25, 12:00–13:40 U34, Thu 18. 4. 8:00–9:40 PC25, 8:00–9:40 U34, 10:00–11:40 U34, 10:00–11:40 PC25, 12:00–13:40 U34, Thu 2. 5. 8:00–9:40 U34, 8:00–9:40 PC25, 10:00–11:40 PC25, 10:00–11:40 U34, 12:00–13:40 U34, Thu 16. 5. 8:00–9:40 U34, 8:00–9:40 PC25, 10:00–11:40 U34, 10:00–11:40 PC25, 12:00–13:40 U34
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: 1/10, only registered: 2/10, only registered with preference (fields directly associated with the programme): 2/10
fields of study / plans the course is directly associated with
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
    recommended literature
  • 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.
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

The course is also listed under the following terms Spring 2023, Spring 2025.
  • Enrolment Statistics (recent)
  • Permalink: https://is.muni.cz/course/fss/spring2024/SOCn5024