Universität Wien

040088 UE Empirical Methods I (MA) (2023W)

4.00 ECTS (2.00 SWS), SPL 4 - Wirtschaftswissenschaften
Prüfungsimmanente Lehrveranstaltung
VOR-ORT

Zusammenfassung

2 Benincasa , Moodle

An/Abmeldung

Hinweis: Ihr Anmeldezeitpunkt innerhalb der Frist hat keine Auswirkungen auf die Platzvergabe (kein "first come, first served").
An/Abmeldeinformationen sind bei der jeweiligen Gruppe verfügbar.

Gruppen

Gruppe 1

Pre-requisites:

Admission to the Master's programme

Attendance:

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 programme

Attendance:

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/

Zuordnung im Vorlesungsverzeichnis

Letzte Änderung: Mo 23.10.2023 15:47