FF:PSMB029 Factor analysis - Course Information
PSMB029 Factor analysis
Faculty of ArtsSpring 2022
- 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 L11
- 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: 1/15, only registered: 0/15 - fields of study / plans the course is directly associated with
- Psychology (programme FF, N-PSYCH_)
- Course objectives
- 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. - Syllabus
- Correlation coefficient
- Simple linear regression
- Multiple regression
- Partial correlation coefficient
- Factor analysis
- 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
- Teaching methods
- One 2 hour seminar per week
Work with the spreadsheet and statistical software - Assessment methods
- Short report on the factor analysis of the students' own dataset
- Language of instruction
- Czech
- Further Comments
- Study Materials
The course is taught annually.
- Enrolment Statistics (Spring 2022, recent)
- Permalink: https://is.muni.cz/course/phil/spring2022/PSMB029