752-2110-00L Multivariate Statistical Analysis
| Semester | Spring Semester 2019 |
| Lecturers | C. Hartmann, A. Bearth |
| Periodicity | yearly recurring course |
| Language of instruction | English |
Courses
| Number | Title | Hours | Lecturers | ||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 752-2110-00 V | Multivariate Statistical Analysis
 Permission from lecturers required for all students.
| 2 hrs |
| C. Hartmann, A. Bearth |
Catalogue data
| 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 21.02 Introduction to the course and basic concepts of multivariate statistics (Hartmann) in Room HG D5.2 28.02 Data handling and exploration + SPSS Introduction (Hartmann) 07.03 Exercise 1a+b (Hartmann) 14.03 Basic Statistical Tests (Bearth) 21.03 Exercise 2: Basic Statistical Tests (Bearth) 28.03 Regression analysis (Hartmann) 04.04 Exercise 3: Regression analysis (Hartmann) 11.04 Variance Analysis (Bearth) 18.04 Exercise 4: Variance Analysis (Hartmann) 02.05 Reliability Analysis (Bearth) 09.05 Principle Component Analysis (Bearth) 16.05 Exercise 5: PCA and Reliability Analysis (Hartmann) 23.05 EXAM (Room will be announced) |
| Literature | Field, A. (2013). Discovering Statistics Using SPSS (all Editions). Sage Publications. ISBN: 1-4462-4918-2 |
| Prerequisites / Notice | This course will be given in English. |
Performance assessment
| Performance assessment information (valid until the course unit is held again) | |
Performance assessment as a semester course | |
| ECTS credits | 3 credits |
| Examiners | C. Hartmann, A. Bearth |
| Type | end-of-semester examination |
| Language of examination | English |
| Repetition | A repetition date will be offered in the first two weeks of the semester immediately consecutive. |
Learning materials
| No public learning materials available. | |
| Only public learning materials are listed. |
Groups
| No information on groups available. |
Restrictions
| General |  : Special students and auditors need a special permission from the lecturersPermission from lecturers required for all students |
