VVZ API is not affiliated with ETH Zurich. Data might be outdated or incorrect. Please view the official ETHZ Vorlesungsverzeichnis for binding information.
Multivariate Statistical Analysis
Last Updated: 2026-02-05 15:40:29
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, factor 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 20.02 Introduction to the course and basic concepts of multivariate statistics in Room HG D5.2 27.02 Data handling and exploration + SPSS Introduction 05.03 Exercise 1a+b 12.03 Basic Statistical Tests 19.03 Exercise 2: Basic Statistical Tests 26.03 Regression analysis 02.04 Exercise 3: Regression analysis 09.04 Variance Analysis 23.04 Exercise 4: Variance Analysis 30.04 Reliability Analysis 07.05 Principle Component Analysis 14.05 Exercise 5: PCA and Reliability Analysis 28.05 EXAM (Room will be announced)
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
Course Components
| Type | Title | Time & Place | Hours |
|---|---|---|---|
| lecture |
Multivariate Statistical Analysis
Permission from lecturers required for all students.
|
|
2 h weekly |