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

Angela Bearth: Catalogue data in Spring Semester 2020

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-mailangela.bearth@hest.ethz.ch
DepartmentHealth Sciences and Technology
RelationshipLecturer

NumberTitleECTSHoursLecturers
701-0729-00LSocial Research Methods Restricted registration - show details
Target group: students of BSc Environmental Sciences
3 credits2GM. Stauffacher, A. Bearth, O. Ejderyan
AbstractThe 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.
ObjectiveStudents 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.
ContentAlle 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 notesDie Dozierenden arbeiten mit Folien, die als Handout abgegeben werden.
LiteratureZur ergänzenden Begleitlektüre kann folgendes Buch empfohlen werden:
Bryman, A. (2012, 4th edition). Social research methods. New York: Oxford University Press.
752-2110-00LMultivariate Statistical Analysis Restricted registration - show details 3 credits2VC. Hartmann, A. Bearth
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

20.02 Introduction to the course and basic concepts of multivariate statistics in Room HG D5.2

27.02 Data handling and exploration + SPSS Introduction

05.03 Exercise 1a+b

12.03 Basic Statistical Tests

19.03 Exercise 2: Basic Statistical Tests

26.03 Regression analysis

02.04 Exercise 3: Regression analysis

09.04 Variance Analysis

23.04 Exercise 4: Variance Analysis

30.04 Reliability Analysis

07.05 Principle Component Analysis

14.05 Exercise 5: PCA and Reliability Analysis

28.05 EXAM (Room will be announced)
LiteratureField, A. (2013). Discovering Statistics Using SPSS (4th edition). Sage Publications. ISBN: 1-4462-4918-2 (and any other edition)
Prerequisites / NoticeThis course will be given in English.