Universität Wien
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040088 UE Empirical Methods I (MA) (2022W)

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

Summary

1 Lego , Moodle
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

  • Monday 07.11. 09:45 - 11:15 Hörsaal 12 Oskar-Morgenstern-Platz 1 2.Stock
  • Monday 07.11. 11:30 - 13:00 Hörsaal 12 Oskar-Morgenstern-Platz 1 2.Stock
  • Monday 14.11. 09:45 - 11:15 Hörsaal 12 Oskar-Morgenstern-Platz 1 2.Stock
  • Monday 14.11. 11:30 - 13:00 Hörsaal 12 Oskar-Morgenstern-Platz 1 2.Stock
  • Tuesday 22.11. 15:00 - 18:15 PC-Seminarraum 3 Oskar-Morgenstern-Platz 1 1.Untergeschoß
  • Monday 28.11. 09:45 - 13:00 PC-Seminarraum 5 Oskar-Morgenstern-Platz 1 1.Untergeschoß
  • Monday 05.12. 09:45 - 13:00 PC-Seminarraum 5 Oskar-Morgenstern-Platz 1 1.Untergeschoß
  • Monday 12.12. 09:45 - 13:00 PC-Seminarraum 5 Oskar-Morgenstern-Platz 1 1.Untergeschoß
  • Monday 09.01. 09:45 - 11:15 Hörsaal 12 Oskar-Morgenstern-Platz 1 2.Stock
  • Monday 09.01. 11:30 - 13:00 Hörsaal 12 Oskar-Morgenstern-Platz 1 2.Stock
  • Monday 16.01. 09:45 - 11:15 Hörsaal 12 Oskar-Morgenstern-Platz 1 2.Stock
  • Monday 16.01. 11:30 - 13:00 Hörsaal 12 Oskar-Morgenstern-Platz 1 2.Stock
  • Tuesday 24.01. 11:30 - 13:00 Hörsaal 14 Oskar-Morgenstern-Platz 1 2.Stock
  • Monday 30.01. 09:45 - 13:00 Seminarraum 16 Oskar-Morgenstern-Platz 1 3.Stock

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

  • Tuesday 08.11. 15:00 - 18:15 Seminarraum 14 Oskar-Morgenstern-Platz 1 2.Stock
  • Tuesday 15.11. 15:00 - 18:15 Hörsaal 16 Oskar-Morgenstern-Platz 1 2.Stock
  • Tuesday 22.11. 08:00 - 11:15 PC-Seminarraum 3 Oskar-Morgenstern-Platz 1 1.Untergeschoß
  • Tuesday 29.11. 08:00 - 11:15 PC-Seminarraum 3 Oskar-Morgenstern-Platz 1 1.Untergeschoß
  • Tuesday 06.12. 08:00 - 11:15 PC-Seminarraum 3 Oskar-Morgenstern-Platz 1 1.Untergeschoß
  • Tuesday 13.12. 08:00 - 11:15 PC-Seminarraum 3 Oskar-Morgenstern-Platz 1 1.Untergeschoß
  • Tuesday 10.01. 09:45 - 13:00 Seminarraum 16 Oskar-Morgenstern-Platz 1 3.Stock
  • Tuesday 17.01. 09:45 - 13:00 Seminarraum 16 Oskar-Morgenstern-Platz 1 3.Stock
  • Tuesday 24.01. 11:30 - 13:00 Hörsaal 14 Oskar-Morgenstern-Platz 1 2.Stock
  • Tuesday 31.01. 08:00 - 11:15 Hörsaal 12 Oskar-Morgenstern-Platz 1 2.Stock

Information

Aims, contents and method of the course

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 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. Given the always-changing Covid-19 situation, but also our goal to maintain a high quality and interactive class, the class should be held in-person with two selected (non-theory) sessions held via Zoom. The exact format of individual sessions will be announced during Session 1! 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.

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

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. 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: We 22.03.2023 09:48