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Multivariate Statistical Analysis
Last Updated: 2026-02-05 16:21:38
Abstract
The course starts by introducing some basic statistical concepts and methods, e.g. data exploration, the idea behind significance testing, and the use of the statistical software SPSS. Based on these fundaments, the following analyses are discussed: regression analysis, factor analysis and variance analysis.
Objective
Students will learn to use multivariate analysis methods and to interpret their results, by means of theory and practice.
Content
This course provides an introduction into the theories and practice of multivariate analysis methods that are used in the fields of food sensory science, consumer behavior and environmental sciences. The course starts by introducing some basic statistical concepts and methods, e.g. data exploration, the idea behind significance testing, and the use of the statistical software SPSS. Based on these fundaments, the following analyses are discussed: regression analysis, principal component analysis and variance analysis. During the course, theoretical lectures alternate with practical sessions in which data are analyzed and their results are interpreted using SPSS. Agenda (for further information see Moodle course)
Resources
Literature
Field, A. (2013). Discovering Statistics Using SPSS (4th edition). Sage Publications. ISBN: 1-4462-4918-2 (and any other edition)
General Information
- Language
- English
- Levels
- MSC
- Frequency
- Yearly recurring
Examination
- Type
- end-of-semester examination
- Mode
- written 90 minutes
- Aids
- none
Course Components
| Type | Title | Time & Place | Hours |
|---|---|---|---|
| lecture |
Multivariate Statistical Analysis
Permission from lecturers required for all students.
|
|
2 h weekly |