Course: Multivariate Data Analysis

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Course title Multivariate Data Analysis
Course code KSA/VTAD
Organizational form of instruction Lecture + Exercise
Level of course Master
Year of study not specified
Semester Winter and summer
Number of ECTS credits 8
Language of instruction Czech
Status of course Compulsory
Form of instruction Face-to-face
Work placements This is not an internship
Recommended optional programme components None
Lecturer(s)
  • Ryšavý Dan, doc. Mgr. Ph.D.
Course content
1. Introduction to the multidimensional data analysis 2. Factor analysis 3. Cluster analysis 4. Correspondence analysis 5. Multidimensional scaling 6. Regression analysis 7. Summary and evaluation

Learning activities and teaching methods
Lecture, Demonstration, Work Activities
Learning outcomes
The course introduces the students into basic principals and practical use of chosen methods of multivariate statistical analysis. It is focused on factor analysis, cluster analysis, correspondence analysis and multidimensional scaling.
competences in the scope of the course objective
Prerequisites
Completion of basic statistical data analysis course (SAD in Palacky University or similar in other universities).

Assessment methods and criteria
Student performance, Seminar Work

The course requires basic skills with the STATISTICA software.
Recommended literature
  • HEBÁK, P. et al. Vícerozměrné statistické metody. 2., doplněné vyd. Praha: Informatorium, 2007. KOŠŤÁL, J. Vybrané metody vícerozměrné statistiky (se zvláštním zaměřením na kriminologický výzkum). Praha: Institut pro kriminologii a sociální prevenci, 2013..
  • 1. HEBÁK, P. a kol. Statistické myšlení a nástroje analýzy dat. Praha: Informatorium, 2013. 2. HENDL, J. Přehled statistických metod. 4., rozšířené vyd. Praha: Portál, 2012. 3. KUBÍKOVÁ, J., ŠKOP, M. Vícerozměrné statistické metody v programu STATISTICA. Praha, StatSoft, 2010. 4. MELOUN, M., MILITKÝ, J., HILL, M. Statistická analýza vícerozměrných dat v příkladech. Praha: Academia, 2012. 5. StatSoft, Inc. Electronic Statistics Textbook. Tulsa, OK: StatSoft, 2013. WEB: http://www.statsoft.com/textbook/..
  • Mareš, P., L. Rabušic, P. Soukup. Analýza sociálněvědních dat (nejen) v SPSS. Brno: Masarykova univerzita, 2015..


Study plans that include the course
Faculty Study plan (Version) Category of Branch/Specialization Recommended year of study Recommended semester
Faculty: Faculty of Arts Study plan (Version): Sociology (2022) Category: Social sciences 1 Recommended year of study:1, Recommended semester: -
Faculty: Faculty of Arts Study plan (Version): Sociology (2019) Category: Social sciences 1 Recommended year of study:1, Recommended semester: -
Faculty: Faculty of Arts Study plan (Version): Sociology (2022) Category: Social sciences 1 Recommended year of study:1, Recommended semester: -
Faculty: Faculty of Arts Study plan (Version): Sociology (2019) Category: Social sciences 1 Recommended year of study:1, Recommended semester: -
Faculty: Faculty of Arts Study plan (Version): Sociology (2022) Category: Social sciences 1 Recommended year of study:1, Recommended semester: -
Faculty: Faculty of Arts Study plan (Version): Sociology (2019) Category: Social sciences 1 Recommended year of study:1, Recommended semester: -