Angela Bearth: Catalogue data in Spring Semester 2019 |
| Name | Dr. Angela Bearth |
| Address | Professur für Consumer Behavior ETH Zürich, CHN J 75.2 Universitätstrasse 16 8092 Zürich SWITZERLAND |
| Telephone | +41 44 632 61 49 |
| angela.bearth@hest.ethz.ch | |
| Department | Health Sciences and Technology |
| Relationship | Lecturer |
| Number | Title | ECTS | Hours | Lecturers | |
|---|---|---|---|---|---|
| 701-0729-00L | Social Research Methods  Limited number of participants: 65 Target group: students of BSc Environmental Sciences, if there are free places then other students are very welcome. Students who enroll in the lecture 860-0029-00L Social Research Methods in spring semester and take part in the exam are not allowed to enroll for 701-0729-00L Social Research Methods and collect credit points. | 3 credits | 2G | M. Stauffacher, A. Bearth, O. Ejderyan | |
| Abstract | This course covers the basic methodological principles of social-scientific research, and provides an insight into its underlying theoretical and methodological rationale and its concrete procedures. Methods and concepts are demonstrated in the context of guided interviews and questionnaire research. Exercises deepen the knowledge gained in the course. | ||||
| Objective | Students are able to - describe the significance of method-supported procedures in the social sciences. - explain the basic principles of social-scientific research. - critically interpret the results of social-scientific research . - conduct small-scale interviews and surveys via questionnaires. | ||||
| Content | Alle Teilnehmenden verpflichten sich zur aktiven Mitarbeit in Form von drei Übungen (leitfadengestütztes Interview, Erstellung von Fragebogen, Auswertung von Daten). Inhaltsübersicht: (1) Wozu empirische (Sozial-)Forschung? (2) Der Forschungsablauf im Überblick, verknüpfen von qualitativen und quantitativen Methoden (3) Leitfadengestützte Interviews: erstellen Leitfaden, Durchführung und Auswertung (4) Fragebogen: Hypothesen erarbeiten, Fragebogen erstellen, Durchführung, Daten auswerten, und Resultate darstellen | ||||
| Lecture notes | Die Dozenten arbeiten mit Folien, die als Handout abgegeben werden. | ||||
| Literature | Zur ergänzenden Begleitlektüre kann folgendes Buch empfohlen werden: Schutt, R.K. (2006). Investigating the Social World: The Process and Practice of Research, 5th ed. Pine Forge Press: Thousand Oaks, CA | ||||
| 752-2110-00L | Multivariate Statistical Analysis | 3 credits | 2V | C. Hartmann, A. Bearth | |
| 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. | ||||