Einführung in die Methoden der empirischen Sozialforschung Teil I

Dozent/in:

Peter Valet

Angaben:

Vorlesung, 2,00 SWS, ECTS: 5

Termine:

Di, 8:00 - 10:00, F21/01.37

Voraussetzungen / Organisatorisches:

Empfohlen für 1. Semester

Eine Voranmeldung (z. B. über FlexNow oder per E-Mail) ist nicht notwendig! Informationen zur Prüfungsanmeldung werden im Rahmen der ersten Veranstaltung mitgeteilt.

Modulprüfung: Klausur (60 min.)

Fortgeschrittene Analysemethoden der quantitativen Sozialforschung: Advanced Regression Analysis using Stata (Part A)

Dozent/in:

Peter Valet

Angaben:

Seminar, 2,00 SWS, ECTS: 6

Termine:

Mi, 14:00 - 16:00, RZ/00.07

Voraussetzungen / Organisatorisches:

Requirements: You should be familiar with the statistics package Stata. If you are not familiar with it, you can either acquire or refresh the necessary skills via self-studies or attend a tutorial course (taught in German) at the beginning of the winter term [https://univis.uni-bamberg.de/form?__s=2&dsc=anew/lecture_view&lvs=sowi/sozwiss/metho/einfhr&anonymous=1&dir=sowi/sozwiss/metho&ref=lecture&sem=2018w&__e=751].

Registration: An advanced registration for the seminar is not required (e.g. via Flexnow or via e-mail). Further information will be shared during the first meeting.

Module exam: Portfolio in English or German (time: 3 months).

Fortgeschrittene Analysemethoden der quantitativen Sozialforschung: Advanced Regression Analysis using Stata (Part B)

Dozent/in:

Peter Valet

Angaben:

Seminar, 2,00 SWS, ECTS: 6

Termine:

Mi, 16:00 - 18:00, RZ/00.07

Voraussetzungen / Organisatorisches:

Requirements: You should be familiar with the statistics package Stata. If you are not familiar with it, you can either acquire or refresh the necessary skills via self-studies or attend a tutorial course (taught in German) at the beginning of the winter term [https://univis.uni-bamberg.de/form?__s=2&dsc=anew/lecture_view&lvs=sowi/sozwiss/metho/einfhr&anonymous=1&dir=sowi/sozwiss/metho&ref=lecture&sem=2018w&__e=751].

Registration: An advanced registration for the seminar is not required (e.g. via Flexnow or via e-mail). Further information will be shared during the first meeting.

Module exam: Portfolio in English or German (time: 3 months).

Fortgeschrittene Verfahren der Querschnittsanalyse: Advanced Regression Analysis using Stata

Dozent/in:

Peter Valet

Angaben:

Seminar, 4,00 SWS, ECTS: 12

Termine:

Mi, 14:00 - 18:00, RZ/00.07

Voraussetzungen / Organisatorisches:

Requirements: You should be familiar with the statistics package Stata. If you are not familiar with it, you can either acquire or refresh the necessary skills via self-studies or attend a tutorial course (taught in German) at the beginning of the winter term [https://univis.uni-bamberg.de/form?__s=2&dsc=anew/lecture_view&lvs=sowi/sozwiss/metho/einfhr&anonymous=1&dir=sowi/sozwiss/metho&ref=lecture&sem=2018w&__e=751].

Registration: An advanced registration for the seminar is not required (e.g. via Flexnow or via e-mail). Further information will be shared during the first meeting.

Module exam: Portfolio in English or German (time: 3 months).