Factorial Methods and Cluster Analysis

Dozent/in	Dr. phil. Katharina Manderscheid
Veranstaltungsart	Masterseminar
Code	FS161172
Semester	Frühjahrssemester 2016
Durchführender Fachbereich	Soziologie
Studienstufe	Master
Termin/e	Do, 25.02.2016, 13:15 - 15:00 Uhr, HS 12 Do, 03.03.2016, 13:15 - 15:00 Uhr, HS 12 Do, 10.03.2016, 13:15 - 15:00 Uhr, 4.A05 Do, 17.03.2016, 13:15 - 15:00 Uhr, HS 12 Do, 24.03.2016, 13:15 - 15:00 Uhr, HS 12 Do, 07.04.2016, 13:15 - 15:00 Uhr, HS 12 Do, 14.04.2016, 13:15 - 15:00 Uhr, HS 12 Do, 14.04.2016, 15:15 - 16:00 Uhr, HS 12 Do, 21.04.2016, 13:15 - 15:00 Uhr, HS 12 Do, 21.04.2016, 15:15 - 16:00 Uhr, HS 12 Do, 28.04.2016, 13:15 - 15:00 Uhr, HS 12 Do, 12.05.2016, 13:15 - 15:00 Uhr, HS 12 Do, 19.05.2016, 13:15 - 15:00 Uhr, HS 12 Do, 02.06.2016, 13:15 - 15:00 Uhr, HS 12
Umfang	2 Semesterwochenstunden
Inhalt	The seminar addresses clustering and scaling techniques, which are techniques exploring latent variables, i.e., variables that are not directly observed. The seminar will focus on factor analysis and multiple correspondence analysis, and on cluster analysis. The seminar participants will learn to interpret examples from the social sciences and to understand the statistical and methodological principles. By applying these techniques to secondary data sets, the students will gain practical experience in using these techniques and in interpreting and visualising the results. The software program used in the seminar will be R.
Voraussetzungen	Foundational knowledge of statistics and basic knowledge of R,
Sprache	Englisch
Abschlussform / Credits	Aktive Teilnahme (Assignments) / 4 Credits
Hinweise	This seminar will be held in English.
Hörer-/innen	Nein
Kontakt	katharina.manderscheid@unilu.ch
Material	Texts will be available on Moodle.
Literatur	· Hair, J.F. et al., 2010. Multivariate Data Analysis. A Global Perspective, Upper Saddle River; Boston, Columbus et al.: Pearson. · Field, A., Miles, J. & Field, Z., 2012. Discovering Statistics Using R, Thousand Oaks, London, New Delhi: Sage.