Angela Bearth: Catalogue data in Spring Semester 2021

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
E-mail	angela.bearth@hest.ethz.ch
Department	Health Sciences and Technology
Relationship	Lecturer

Number	Title	ECTS	Hours	Lecturers
701-0729-00L	Social Research Methods Target group: students of BSc Environmental Sciences	3 credits	2G	M. Stauffacher, A. Bearth, O. Ejderyan
Abstract	The aim of this course is to impart methodological principles of social science research and thus to stimulate a critical reflection of social science findings. The course provides an insight into the concrete approach and methods of guideline-based interview techniques and questionnaire research.
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, Erhebung und Auswertung von Fragebogen). 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 Dozierenden arbeiten mit Folien, die als Handout abgegeben werden.
Literature	Zur ergänzenden Begleitlektüre kann folgendes Buch empfohlen werden: Bryman, A. (2012, 4th edition). Social research methods. New York: Oxford University Press.
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 (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.