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

NumberTitleECTSHoursLecturers
701-0729-00LSocial Research Methods Restricted registration - show details
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 credits2GM. Stauffacher, A. Bearth, O. Ejderyan
AbstractThis 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.
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, 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 notesDie Dozenten arbeiten mit Folien, die als Handout abgegeben werden.
LiteratureZur 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
752-2110-00LMultivariate 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

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)
LiteratureField, A. (2013). Discovering Statistics Using SPSS (all Editions). Sage Publications. ISBN: 1-4462-4918-2
Prerequisites / NoticeThis course will be given in English.