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230136 UE Specific Multivariate Methods of Analysis in the Social Sciences (2022W)
Prüfungsimmanente Lehrveranstaltung
Labels
An/Abmeldung
Hinweis: Ihr Anmeldezeitpunkt innerhalb der Frist hat keine Auswirkungen auf die Platzvergabe (kein "first come, first served").
- Anmeldung von Mi 24.08.2022 10:00 bis Mi 21.09.2022 10:00
- Anmeldung von Mo 26.09.2022 10:00 bis Mi 28.09.2022 10:00
- Abmeldung bis Do 20.10.2022 23:59
Details
max. 25 Teilnehmer*innen
Sprache: Englisch
Lehrende
Termine (iCal) - nächster Termin ist mit N markiert
- Freitag 07.10. 14:00 - 16:00 Inst. f. Soziologie, Seminarraum 2, Rooseveltplatz 2, 1.Stock
- Freitag 28.10. 10:00 - 16:30 PC-Raum 1 Schenkenstraße 8-10, 1.UG
- Freitag 11.11. 10:00 - 16:30 PC-Raum 1 Schenkenstraße 8-10, 1.UG
- Freitag 18.11. 10:00 - 16:30 PC-Raum 1 Schenkenstraße 8-10, 1.UG
- Freitag 25.11. 10:00 - 16:30 PC-Raum 1 Schenkenstraße 8-10, 1.UG
Information
Ziele, Inhalte und Methode der Lehrveranstaltung
Art der Leistungskontrolle und erlaubte Hilfsmittel
Students have to deliver individual assignments and perform a research paper presentation, showing the quantitative skills acquired (e.g., proper use of statistical concepts, use of data, analyze data correctly and interpret the results accordingly). The final grade is based on all the following tasks:
- Active participation (20%)
- Writing assignment I (30%)
- Writing assignment II (30%)
- Research papers presentation (20%)Important Grading Information:
The provision of all partial tasks is a prerequisite for a positive assessment, if not explicitly noted otherwise.
All students who received a place in the course are assessed if they have not deregistered from the course in due time or if they have not credibly shown an important reason for their failure to deregister after the cause for this reason does no longer apply
Students who credibly show an important reason (e.g. a longer illness) for the withdrawal from a course with continuous assessment are not assessed.
Whether this exception applies is decided by the lecturer. The request for deregistration must be submitted immediately.If any requirement of the course has been fulfilled by fraudulent means, be it for example by cheating at an exam, plagiarizing parts of a written assignment or by faking signatures on an attendance sheet, the student's participation in the course will be discontinued, the entire course will be graded as "not assessed" and recorded accordingly.
You can find these and other provisions in the study law: https://satzung.univie.ac.at/studienrecht/.The plagiarism-detection service (Turnitin in Moodle) can be used in course of the grading.
- Active participation (20%)
- Writing assignment I (30%)
- Writing assignment II (30%)
- Research papers presentation (20%)Important Grading Information:
The provision of all partial tasks is a prerequisite for a positive assessment, if not explicitly noted otherwise.
All students who received a place in the course are assessed if they have not deregistered from the course in due time or if they have not credibly shown an important reason for their failure to deregister after the cause for this reason does no longer apply
Students who credibly show an important reason (e.g. a longer illness) for the withdrawal from a course with continuous assessment are not assessed.
Whether this exception applies is decided by the lecturer. The request for deregistration must be submitted immediately.If any requirement of the course has been fulfilled by fraudulent means, be it for example by cheating at an exam, plagiarizing parts of a written assignment or by faking signatures on an attendance sheet, the student's participation in the course will be discontinued, the entire course will be graded as "not assessed" and recorded accordingly.
You can find these and other provisions in the study law: https://satzung.univie.ac.at/studienrecht/.The plagiarism-detection service (Turnitin in Moodle) can be used in course of the grading.
Mindestanforderungen und Beurteilungsmaßstab
Tasks are graded with a scale from 1 (excellent) to 5 (fail). Students have to respect the deadlines agreed for each task. If the student does not perform in one of the tasks according to the deadline, the course is considered failed. To have an overall positive evaluation, students need a grade of at least 4 for each task. Attendance at the sessions is expected, if a student misses more than one session, the course is considered failed.
Prüfungsstoff
Literatur
Statistical Methods for the Social Sciences (5th Edition), Agresti
Other material will be indicated during the course.
Other material will be indicated during the course.
Zuordnung im Vorlesungsverzeichnis
in 905: Ausschließlich für das Pflichtmodul MA M Methoden
Letzte Änderung: Do 06.10.2022 18:49
Main topics of the course:
- Multiple regression and correlation
- Analysis of variance
- Model building with multiple regression
- Logistic regression
The following free software will be used R and RStudio. The language of the course is English.