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752-2110-00L 3 Credits MSC D-USYS , D-HEST

Multivariate Statistical Analysis

Lecturers & Examiners: Dr. Christina Hartmann, Dr. Angela Bearth
VVZ CR n/a

Last Updated: 2026-06-03 00:14:32

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.
  • Thu 10:15-12:00 (HG D 12)
  • Thu 10:15-12:00 (HG D 7.1)
  • Thu 10:15-12:00 (HG E 19)
2 h weekly

Offered In