Universität Wien
Achtung! Das Lehrangebot ist noch nicht vollständig und wird bis Semesterbeginn laufend ergänzt.

040088 UE Empirical Methods I (MA) (2024W)

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

Zusammenfassung

1 Falk , Moodle
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

  • Dienstag 01.10. 15:00 - 18:15 Hörsaal 5 Oskar-Morgenstern-Platz 1 Erdgeschoß
  • Dienstag 08.10. 15:00 - 18:15 Seminarraum 16 Oskar-Morgenstern-Platz 1 3.Stock
  • Dienstag 15.10. 15:00 - 18:15 PC-Seminarraum 2 Oskar-Morgenstern-Platz 1 1.Untergeschoß
  • Dienstag 22.10. 15:00 - 18:15 PC-Seminarraum 2 Oskar-Morgenstern-Platz 1 1.Untergeschoß
  • Dienstag 29.10. 15:00 - 18:15 PC-Seminarraum 2 Oskar-Morgenstern-Platz 1 1.Untergeschoß
  • Dienstag 12.11. 15:00 - 18:15 Digital
  • Dienstag 19.11. 15:00 - 18:15 Digital
  • Dienstag 10.12. 15:00 - 18:15 Digital
  • Dienstag 14.01. 16:45 - 18:15 Hörsaal 5 Oskar-Morgenstern-Platz 1 Erdgeschoß
  • Dienstag 14.01. 18:30 - 20:00 Hörsaal 5 Oskar-Morgenstern-Platz 1 Erdgeschoß
  • Dienstag 21.01. 15:00 - 18:15 Digital

Ziele, Inhalte und Methode der Lehrveranstaltung

This course is an introductory class on empirical methods and data analysis 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. Our theoretical sessions will cover tools and stages required for running empirical projects (e.g. research design, measurement types, 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 prepare their data for analysis using statistical programming software. Students will participate by reading and presenting scientific articles in some of the highest ranked strategy journals. 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 obtain real-world data for their basic descriptives in Empirical Methods I and the subsequent proposition testing in Empirical Methods II.
This course is 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 partly held in one of the PC-labs at the OMP 1. The class is hence held in-person with selected (non-theory, individual meetings) sessions held via Zoom. For those 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

30% - class participation (i.e., home assignments and presentation of an empirical paper)
35% - written exam
35% - empirical project (i.e., own paper including a presentation)

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. 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:
5 – [0%; 50%)
4 – [50%; 62.5%)
3 – [62.5%; 75%)
2 – [75%; 87.5%)
1 – [87.5%; 100%]

Literatur

Necessary literature will be discussed in class and made available on Moodle.
For further information, please refer to: https://strategy.univie.ac.at/

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

Please note: Nov 18 and Nov 25 are submission deadlines; Nov 25 is additionally also a back-up slot, if needed.

  • Mittwoch 02.10. 09:45 - 13:00 PC-Seminarraum 2 Oskar-Morgenstern-Platz 1 1.Untergeschoß
  • Mittwoch 09.10. 09:45 - 13:00 PC-Seminarraum 2 Oskar-Morgenstern-Platz 1 1.Untergeschoß
  • Mittwoch 16.10. 09:45 - 13:00 PC-Seminarraum 2 Oskar-Morgenstern-Platz 1 1.Untergeschoß
  • Mittwoch 23.10. 09:45 - 13:00 PC-Seminarraum 2 Oskar-Morgenstern-Platz 1 1.Untergeschoß
  • Mittwoch 30.10. 09:45 - 13:00 PC-Seminarraum 2 Oskar-Morgenstern-Platz 1 1.Untergeschoß
  • Montag 11.11. 11:30 - 15:30 Digital
  • Montag 18.11. 11:30 - 14:45 Ort in u:find Details
  • Montag 25.11. 11:30 - 14:45 Ort in u:find Details
  • Montag 02.12. 16:45 - 18:45 Hörsaal 5 Oskar-Morgenstern-Platz 1 Erdgeschoß
  • Dienstag 10.12. 11:30 - 13:00 Hörsaal 5 Oskar-Morgenstern-Platz 1 Erdgeschoß

Ziele, Inhalte und Methode der Lehrveranstaltung

This course is an introductory class on empirical methods and data analysis 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. Our theoretical sessions will cover tools and stages required for running empirical projects (e.g. research design, measurement types, 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 prepare their data for analysis using statistical programming software. Students will participate by reading and presenting scientific articles in some of the highest-ranked strategy journals. 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 obtain real-world data for their basic descriptives in Empirical Methods I and the subsequent proposition testing in Empirical Methods II.

The course is highly interactive and built around a combination of frontal lectures, laboratory classes, and presentations. Laboratory-oriented classes necessitate specific software and IT equipment. To provide every student the same opportunity to successfully participate, these classes are held in one of the PC-labs rooms at the OMP 1. Presentations are usually held in digital format via Zoom. In these classes, students are required to ensure stable Internet connection and working video/audio devices.

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

Please be aware that 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 (2.25 hours). Exceeding this threshold would result in failing the class. This restriction holds regardless the online/offline format of individual sessions. 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%]

Literatur

Necessary literature will be discussed in class.
For further information, please refer to: https://strategy.univie.ac.at/

Information

Prüfungsstoff

Students are required to know and have understood all topics discussed in class and presented on the lecture slides. Focus is placed on applying theory to real-world examples.

Zuordnung im Vorlesungsverzeichnis

Letzte Änderung: Mo 13.01.2025 13:05