PSMB029 Factor analysis

Faculty of Arts
Spring 2020
Extent and Intensity
0/2/0. 3 credit(s). Type of Completion: k (colloquium).
Teacher(s)
prof. PhDr. Tomáš Urbánek, Ph.D. (lecturer)
Guaranteed by
prof. PhDr. Tomáš Urbánek, Ph.D.
Department of Psychology – Faculty of Arts
Contact Person: Jarmila Valchářová
Supplier department: Department of Psychology – Faculty of Arts
Timetable
Mon 16:00–17:40 N31
Prerequisites
Basics of statistical data analysis.
Course Enrolment Limitations
The course is only offered to the students of the study fields the course is directly associated with.

The capacity limit for the course is 15 student(s).
Current registration and enrolment status: enrolled: 0/15, only registered: 0/15
fields of study / plans the course is directly associated with
Abstract
The students will get working knowledge of the correlation analysis, regression analysis and factor analysis computations and interpretations.
Learning outcomes
Students will be able to compute and interpret:
correlation analysis in MS Excel;
regression analysis in MS Excel;
simple factor analysis using OLS in MS Excel;
confirmatory factor analysis in R.
Key topics
  • Correlation coefficient
  • Simple linear regression
  • Multiple regression
  • Partial correlation coefficient
  • Factor analysis
Study resources and literature
  • URBÁNEK, Tomáš. Strukturální modelování v psychologii. 1st ed. Brno: Psychologický ústav AV ČR a Nakladatelství Pavel Křepela, 2000, 234 pp. ISBN 80-902653-4-0. info
  • MCDONALD, Roderic P. Faktorová analýza a příbuzné metody v psychologii. 1. vyd. Praha: Academia, 1991, 252 s. ISBN 0-89859-388-3. info
  • BLAHUŠ, Petr. Faktorová analýza a její zobecnění. 1. vyd. Praha: Státní nakladatelství technické literatury, 1985, 354 s. URL info
Approaches, practices, and methods used in teaching
One 2 hour seminar per week
Work with the spreadsheet and statistical software
Method of verifying learning outcomes and course completion requirements
Short report on the factor analysis of the students' own dataset
Language of instruction
Czech
Further Comments
Study Materials
The course is taught annually.
The course is also listed under the following terms Spring 2019, Spring 2021, Spring 2022, Spring 2023, Spring 2024, Spring 2025, Spring 2026, Spring 2027.
  • Enrolment Statistics (Spring 2020, recent)
  • Permalink: https://is.muni.cz/course/phil/spring2020/PSMB029