Autumn Semester 2020 takes place in a mixed form of online and classroom teaching.
Please read the published information on the individual courses carefully.

752-2110-00L  Multivariate Statistical Analysis

SemesterSpring Semester 2015
LecturersC. Keller, V. Visschers
Periodicityyearly recurring course
Language of instructionEnglish


AbstractThe 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.
ObjectiveStudents will learn to use multivariate analysis methods and to interpret their results, by means of theory and practice.
ContentThis 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

19.02 Introduction to the course and basic concepts of multivariate statistics (Keller and Visschers) in Room HG D5.2

26.02 Introduction into SPSS
Exercise 1a: Data description (Visschers)

05.03 Data handling and exploration,
Exercise 1b: Data exploration (Visschers)

12.03 Basic Statistical Tests (Visschers)

19.03 Exercise 2: Basic Statistical Tests (Visschers)

26.03 Regression analysis (Keller)

02.04 Exercise 3: Regression analysis (Keller)

3.4-12.4 Easter Holiday

16.04 Variance Analyis (Keller)

23.04 Exercise 4: Variance Analysis (Keller)

30. 04 Reliability Analysis (Visschers)

07.05 Principle Component Analysis (Keller)

14. 05 Ascension Day, no lecture

21.05 Exercise 5: PCA and Reliability Analysis (Visschers)

28.05 EXAM (Room will be announced)
LiteratureField, A. (2013). Discovering Statistics Using SPSS (4th Edition). Sage Publications. ISBN: 1-4462-4918-2
or
Field, A. (2009) Discovering Statistics Using SPSS (3rd Edition). Sage Publications. ISBN: 978-1-84787-907-3
or
Field, A. (2005). Discovering Statistics Using SPSS (2nd Edition). Sage Publications. ISBN: 0-7619-4452-4
Prerequisites / NoticeThis course will be given in English.