270203 Multivariate Verfahren II (V) (SoSe 2017)

Contents, comment

Im Vordergrund der Veranstaltung stehen kategoriale Daten:
Logistische Regression (Vorhersage eines dichotomen Kriteriums), Cox-Regression (Vorhersagte eines dichtomen Kriteriums über Zeit, eine Überlebenszeitanalyse), Loglineare Modelle (Analyse mehrdimensionaler Häufigkeitstabellen), Latent-Class (Aufdeckung von Subpopulation), Clusteranalyse (Clusterbildung anhand von Distanzmaßen), ggf. werden Inhalte aus "Multivariate Verfahren" wiederholt und vertieft.

Requirements for participation, required level

Die Vorlesung baut auf statistischen Grundbegriffen und Verfahren aus dem BSC-Studium auf. Folgende Kenntnisse sind unabdingbar: lineare Regression, uni- und bivariate kategoriale Testverfahren (z.B. x²-k*l-Test, x²-Anpassungstest) sowie bedingte Wahrscheinlichkeiten. Sollten einige dieser Punkte nicht mehr präsent sein wird dringend empfohlen diese selbstständig vor Beginn der Vorlesung zu wiederholen. Inhalte der Veranstaltungen "Multivariate Verfahren" und "Evaluation" werden als bekannt vorausgesetzt, sind aber nicht zwingend erforderlich.

Bibliography

Wird in der 1. Veranstaltung bekannt gegeben

Teaching staff

Dates ( Calendar view )

Frequency Weekday Time Format / Place Period  

Show passed dates >>

Examinations

Date Time Format / Room Comment about examination

Show passed examination dates >>

Subject assignments

Module Course Requirements  
27-M-A Forschungsmethoden und Evaluation A.2 Multivariate Verfahren II Graded examination
Student information
27-M-A_ver1 Forschungsmethoden und Evaluation A.2 Computergestützte Erhebung, Modellierung und Analyse von Daten Graded examination
Student information

The binding module descriptions contain further information, including specifications on the "types of assignments" students need to complete. In cases where a module description mentions more than one kind of assignment, the respective member of the teaching staff will decide which task(s) they assign the students.

Degree programme/academic programme Validity Variant Subdivision Status Semester LP  
Statistische Wissenschaften / Master (Enrollment until SoSe 2014) SW5   1. 4  

Es findet eine Klausur über die Inhalte der Vorlesung am Ende des Sommersemesters statt (60 Min.)

E-Learning Space
E-Learning Space
Registered number: 148
This is the number of students having stored the course in their timetable. In brackets, you see the number of users registered via guest accounts.
Address:
SS2017_270203@ekvv.uni-bielefeld.de
This address can be used by teaching staff, their secretary's offices as well as the individuals in charge of course data maintenance to send emails to the course participants. IMPORTANT: All sent emails must be activated. Wait for the activation email and follow the instructions given there.
If the reference number is used for several courses in the course of the semester, use the following alternative address to reach the participants of exactly this: VST_84616586@ekvv.uni-bielefeld.de
Coverage:
24 Students to be reached directly via email
Notes:
Additional notes on the electronic mailing lists
Email archive
Number of entries 0
Open email archive
Last update basic details/teaching staff:
Monday, November 21, 2016 
Last update times:
Monday, February 27, 2017 
Last update rooms:
Monday, February 27, 2017 
Type(s) / SWS (hours per week per semester)
lecture (V) / 2
Department
Faculty of Psychology and Sports Science / Department of Psychology
Questions or corrections?
Questions or correction requests for this course?
Planning support
Clashing dates for this course
Links to this course
If you want to set links to this course page, please use one of the following links. Do not use the link shown in your browser!
The following link includes the course ID and is always unique:
https://ekvv.uni-bielefeld.de/kvv_publ/publ/vd?id=84616586
Send page to mobile
Click to open QR code
Scan QR code: Enlarge QR code
ID
84616586