Universität Wien

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

4.00 ECTS (2.00 SWS), SPL 4 - Wirtschaftswissenschaften
Continuous assessment of course work
ON-SITE

Summary

2 Benincasa , Moodle

Registration/Deregistration

Note: The time of your registration within the registration period has no effect on the allocation of places (no first come, first served).
Registration information is available for each group.

Groups

Group 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 participants
Language: English
LMS: Moodle

Lecturers

Classes (iCal) - next class is marked with N

Wednesday 04.10. 16:45 - 20:00 Hörsaal 15 Oskar-Morgenstern-Platz 1 2.Stock
Thursday 05.10. 11:30 - 13:00 Seminarraum 16 Oskar-Morgenstern-Platz 1 3.Stock
Thursday 05.10. 13:15 - 14:45 Hörsaal 15 Oskar-Morgenstern-Platz 1 2.Stock
Friday 06.10. 11:30 - 14:45 Hörsaal 9 Oskar-Morgenstern-Platz 1 1.Stock
Thursday 12.10. 16:45 - 21:30 PC-Seminarraum 2 Oskar-Morgenstern-Platz 1 1.Untergeschoß
Friday 13.10. 09:45 - 14:45 PC-Seminarraum 2 Oskar-Morgenstern-Platz 1 1.Untergeschoß
Thursday 19.10. 16:45 - 20:00 PC-Seminarraum 2 Oskar-Morgenstern-Platz 1 1.Untergeschoß
Friday 20.10. 09:45 - 14:45 PC-Seminarraum 2 Oskar-Morgenstern-Platz 1 1.Untergeschoß
Saturday 21.10. 09:45 - 13:00 Seminarraum 14 Oskar-Morgenstern-Platz 1 2.Stock
Monday 30.10. 18:30 - 21:30 Digital
Monday 06.11. 18:30 - 21:30 Digital
Saturday 11.11. 11:30 - 13:00 Hörsaal 1 Oskar-Morgenstern-Platz 1 Erdgeschoß
Saturday 18.11. 11:30 - 13:00 Hörsaal 1 Oskar-Morgenstern-Platz 1 Erdgeschoß

Group 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 participants
Language: English
LMS: Moodle

Lecturers

Classes (iCal) - next class is marked with N

Thursday 05.10. 09:45 - 13:00 PC-Seminarraum 2 Oskar-Morgenstern-Platz 1 1.Untergeschoß
Thursday 12.10. 13:15 - 16:30 Hörsaal 8 Oskar-Morgenstern-Platz 1 1.Stock
Thursday 19.10. 13:15 - 16:30 PC-Seminarraum 3 Oskar-Morgenstern-Platz 1 1.Untergeschoß
Wednesday 25.10. 08:00 - 11:15 PC-Seminarraum 3 Oskar-Morgenstern-Platz 1 1.Untergeschoß
Tuesday 31.10. 09:45 - 13:00 PC-Seminarraum 2 Oskar-Morgenstern-Platz 1 1.Untergeschoß
Friday 10.11. 10:00 - 14:00 Digital
Monday 20.11. 09:45 - 13:00 Digital
Monday 27.11. 11:30 - 14:45 PC-Seminarraum 3 Oskar-Morgenstern-Platz 1 1.Untergeschoß
Monday 04.12. 11:30 - 13:00 Hörsaal 4 Oskar-Morgenstern-Platz 1 Erdgeschoß
Monday 11.12. 08:00 - 11:15 Digital

Information

Aims, contents and method of the course

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!

Assessment and permitted materials

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.

Minimum requirements and assessment criteria

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%]

Examination topics

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.

Reading list

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

Association in the course directory

Last modified: Mo 23.10.2023 15:47