# 752-2110-00L Multivariate Statistical Analysis

Semester | Spring Semester 2021 |

Lecturers | C. Hartmann, A. Bearth |

Periodicity | yearly recurring course |

Language of instruction | English |

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 (for further information see Moodle course) 25.02 Introduction to the course and basic concepts of multivariate statistics 04.03. Data handling and exploration + SPSS Introduction 11.03. Exercise 1a+b 18.03. Basic Statistical Tests 25.03. Exercise 2: Basic Statistical Tests 01.04. Regression analysis 15.04. Exercise 3: Regression analysis 22.04. Variance Analysis 29.04. Exercise 4: Variance Analysis 06.05. Reliability Analysis 20.05. Principle Component Analysis 27.05. Exercise 5: PCA and Reliability Analysis 03.06. EXAM (Room will be announced) |

Literature | Field, A. (2013). Discovering Statistics Using SPSS (4th edition). Sage Publications. ISBN: 1-4462-4918-2 (and any other edition) |

Prerequisites / Notice | This course will be given in English. The course will take place online via zoom. |