040088 UE Empirical Methods I (MA) (2023W)
Prüfungsimmanente Lehrveranstaltung
Labels
VOR-ORT
Zusammenfassung
An/Abmeldung
Hinweis: Ihr Anmeldezeitpunkt innerhalb der Frist hat keine Auswirkungen auf die Platzvergabe (kein "first come, first served").
- Anmeldung von Mo 11.09.2023 09:00 bis Fr 22.09.2023 12:00
- Anmeldung von Di 26.09.2023 09:00 bis Mi 27.09.2023 12:00
- Abmeldung bis Fr 20.10.2023 23:59
An/Abmeldeinformationen sind bei der jeweiligen Gruppe verfügbar.
Gruppen
Gruppe 1
Pre-requisites:Admission to the Master's programmeAttendance:As part of the course grade, your class participation will be assessed every session. You will automatically fail the class if you miss more than 10% of sessions.
max. 30 Teilnehmer*innen
Sprache: Englisch
Lernplattform: Moodle
Lehrende
Termine (iCal) - nächster Termin ist mit N markiert
Mittwoch
04.10.
16:45 - 20:00
Hörsaal 15 Oskar-Morgenstern-Platz 1 2.Stock
Donnerstag
05.10.
11:30 - 13:00
Seminarraum 16 Oskar-Morgenstern-Platz 1 3.Stock
Donnerstag
05.10.
13:15 - 14:45
Hörsaal 15 Oskar-Morgenstern-Platz 1 2.Stock
Freitag
06.10.
11:30 - 14:45
Hörsaal 9 Oskar-Morgenstern-Platz 1 1.Stock
Donnerstag
12.10.
16:45 - 21:30
PC-Seminarraum 2 Oskar-Morgenstern-Platz 1 1.Untergeschoß
Freitag
13.10.
09:45 - 14:45
PC-Seminarraum 2 Oskar-Morgenstern-Platz 1 1.Untergeschoß
Donnerstag
19.10.
16:45 - 20:00
PC-Seminarraum 2 Oskar-Morgenstern-Platz 1 1.Untergeschoß
Freitag
20.10.
09:45 - 14:45
PC-Seminarraum 2 Oskar-Morgenstern-Platz 1 1.Untergeschoß
Samstag
21.10.
09:45 - 13:00
Seminarraum 14 Oskar-Morgenstern-Platz 1 2.Stock
Montag
30.10.
18:30 - 21:30
Digital
Montag
06.11.
18:30 - 21:30
Digital
Samstag
11.11.
11:30 - 13:00
Hörsaal 1 Oskar-Morgenstern-Platz 1 Erdgeschoß
Samstag
18.11.
11:30 - 13:00
Hörsaal 1 Oskar-Morgenstern-Platz 1 Erdgeschoß
Gruppe 2
Pre-requisites:Admission to the Master's programmeAttendance:As part of the course grade, your class participation will be assessed every session. You will automatically fail the class if you miss more than 10% of sessions.
max. 30 Teilnehmer*innen
Sprache: Englisch
Lernplattform: Moodle
Lehrende
Termine (iCal) - nächster Termin ist mit N markiert
Donnerstag
05.10.
09:45 - 13:00
PC-Seminarraum 2 Oskar-Morgenstern-Platz 1 1.Untergeschoß
Donnerstag
12.10.
13:15 - 16:30
Hörsaal 8 Oskar-Morgenstern-Platz 1 1.Stock
Donnerstag
19.10.
13:15 - 16:30
PC-Seminarraum 3 Oskar-Morgenstern-Platz 1 1.Untergeschoß
Mittwoch
25.10.
08:00 - 11:15
PC-Seminarraum 3 Oskar-Morgenstern-Platz 1 1.Untergeschoß
Dienstag
31.10.
09:45 - 13:00
PC-Seminarraum 2 Oskar-Morgenstern-Platz 1 1.Untergeschoß
Freitag
10.11.
10:00 - 14:00
Digital
Montag
20.11.
09:45 - 13:00
Digital
Montag
27.11.
11:30 - 14:45
PC-Seminarraum 3 Oskar-Morgenstern-Platz 1 1.Untergeschoß
Montag
04.12.
11:30 - 13:00
Hörsaal 4 Oskar-Morgenstern-Platz 1 Erdgeschoß
Montag
11.12.
08:00 - 11:15
Digital
Information
Ziele, Inhalte und Methode der Lehrveranstaltung
This course is an introductory class on writing empirical papers which precedes the follow-up class “Empirical Methods II”. The goal of this introductory course is for students to learn the fundamental techniques and obtain the basic skills required in empirical research, with the ultimate goal of being able to put-up a full empirical paper. Our theoretical sessions will cover tools and stages required for running empirical projects (e.g. research design, measurement types of variables, methods of data collection, basic descriptive statistics) with a special focus on the pre-evaluation stage of an empirical work. Our applied sessions will introduce the students to basic STATA skills, allowing them to produce descriptive statistics and prepare their data for a future (follow-up class) regression analysis. Students will participate by reading and presenting scientific articles in some of the highest ranked strategy journals and working with practice, as well as real-world datasets. Knowledge gained in this course is also applied during a project where students actively develop the necessary steps for conducting their own empirical research projects. In this spirit, students are required to produce the front-end of an empirical paper and provide basic descriptives, using real-world data. Being an introductory class, this will be followed by putting-up the back-end of the empirical paper and testing the propositions in Empirical Methods II.This course is highly interactive and built around the idea of a laboratory setup as is typical for social sciences. The setup necessitates certain software and IT equipment. To provide every student the same opportunity to successfully participate in the course, it is held in one of the PC-labs at the OMP 1. The class is hence held in-person with two selected (non-theory, individual meetings) sessions held via Zoom. For both online meetings, students are required to ensure stable Internet connection and be able to join using their web cameras as well! Hence, not only an audio connection, also a video connection is required! The majority of all sessions, as well as the exam will be held in person. The exact format of individual sessions will be announced during Session 1!
Art der Leistungskontrolle und erlaubte Hilfsmittel
Students will be assessed based on their class participation (class work, home assignments and a presentation of an empirical paper), a written exam and an empirical project (own paper and a presentation of own findings). The final project (including presentation) accounts for 35%, the exam for 35% and class participation accounts for 30% of the final grade.
Mindestanforderungen und Beurteilungsmaßstab
Attendance during the first session of this course is absolutely mandatory. If students miss the first session without contacting the lecturer in writing (at the very latest until 24 hours before the first session), giving a relevant reason/proof (e.g. illness=doctor's certificate, exam=confirmation by the examiner) for their absence, they will be deregistered from the course and their place will automatically be awarded to the next in line on the waiting list. After that, students are allowed to miss 10% of the classes without any consequences. Exceeding this threshold would result in failing the class. In order to pass the course, at least 50% of the total 100% are required. Please note that TURNITIN will be used in order to test all written coursework (e.g. the final project) for possible plagiarism.Grading scheme: [0%;50%) [50%;62.5%) [62.5%;75%) [75%;87.5%) [87.5%;100%]
Prüfungsstoff
Students are required to know and have understood all topics discussed in class and presented on the lecture slides. The written exam places focus not only on students' theoretical knowledge, but on applying theory to real-world examples.
Literatur
Necessary literature will be discussed in class and made available on Moodle.
For further information, please refer to: https://strategy.univie.ac.at/
For further information, please refer to: https://strategy.univie.ac.at/
Zuordnung im Vorlesungsverzeichnis
Letzte Änderung: Mo 23.10.2023 15:47