Advanced multivariate statistics

Dozent/in	Prof. Dr. Rainer Diaz-Bone
Veranstaltungsart	Kolloquialvorlesung
Code	HS251560
Semester	Herbstsemester 2025
Durchführender Fachbereich	Soziologie
Studienstufe	Bachelor Master
Termin/e	wöchentlich (Do), ab 18.09.2025, 14:15 - 16:00 Uhr, 4.B01
Umfang	2 Semesterwochenstunden
Inhalt	The colloquium lecture introduces students to important methods of multivariate statistics. Multivariate statistics enables the analysis of complex statistical relationships between several variables. The course covers (1) binary logistic regression, (2) multiple correspondence analysis, (3) multilevel analysis and (4) log-linear analysis. These methods take into account the special data situation in the social sciences (mostly categorical data, then also clustered data structures), but today there are also standard methods in related fields such as data science. The focus of the course is on understanding the conceptual foundations and properties of these statistical methods. The course intends to qualify students so that they can handle the statistical methods correctly from a social science perspective and interpret the results competently. These methods are frequently used in BA and MA theses. The software R/RStudio as user interface) is used in the course so that practical application is also included. As part of the colloquium lecture, the lecture content is applied in exercises which will prepare for the exam. Regular attendance of the lectures is required.
Voraussetzungen	Training in basic statistics and R/RStudio skills.
Sprache	Englisch
Anmeldung	***Important*** In order to earn credits, you must register for the course via the UniPortal. Registration is possible from two weeks before to two weeks after the start of the semester. Registration and deregistration are no longer possible after this period. You can find the exact registration details here: http://www.unilu.ch/ksf/semesterdaten
Prüfung	Written exam at the end of the lecture time. It is not necessary to register for the exam. Further information on the examinations: https://www.unilu.ch/studium/lehrveranstaltungen-pruefungen-reglemente/ksf/vorlesungspruefungen/
Abschlussform / Credits	For details see 'Prüfung' / 3 Credits
Kontakt	rainer.diazbone@unilu.ch
Material	Will be delivered via OLAT
Literatur	Will be announced in the syllabus (on OLAT) for the colloquial lecture.