040088 UE Empirical Methods I (MA) (2025S)
Continuous assessment of course work
Labels
MIXED
Summary
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 is open from Mo 10.02.2025 09:00 to Tu 18.02.2025 12:00
- Registration is open from We 26.02.2025 09:00 to Th 27.02.2025 12:00
- Deregistration possible until Fr 14.03.2025 23:59
Registration information is available for each group.
Groups
Group 1
max. 30 participants
Language: English
LMS: Moodle
Lecturers
Classes (iCal) - next class is marked with N
- Thursday 06.03. 09:45 - 13:00 PC-Seminarraum 3 Oskar-Morgenstern-Platz 1 1.Untergeschoß
- Thursday 13.03. 09:45 - 13:00 PC-Seminarraum 3 Oskar-Morgenstern-Platz 1 1.Untergeschoß
- Thursday 20.03. 09:45 - 13:00 PC-Seminarraum 3 Oskar-Morgenstern-Platz 1 1.Untergeschoß
- Thursday 27.03. 09:45 - 13:00 PC-Seminarraum 3 Oskar-Morgenstern-Platz 1 1.Untergeschoß
- Thursday 03.04. 09:45 - 13:00 PC-Seminarraum 3 Oskar-Morgenstern-Platz 1 1.Untergeschoß
- Thursday 10.04. 09:45 - 13:00 Digital
- Monday 28.04. 09:45 - 13:00 PC-Seminarraum 2 Oskar-Morgenstern-Platz 1 1.Untergeschoß
- Monday 05.05. 09:45 - 13:00 PC-Seminarraum 2 Oskar-Morgenstern-Platz 1 1.Untergeschoß
- Monday 12.05. 09:00 - 11:15 Hörsaal 5 Oskar-Morgenstern-Platz 1 Erdgeschoß
- Monday 19.05. 09:45 - 13:00 Digital
Aims, contents and method of the course
This course is an introductory class on empirical methods and data analysis. The goal is for students to learn fundamental techniques and acquire basic skills essential for empirical research. The theory-oriented sessions will cover key stages and tools involved in conducting empirical projects, including research design, measurement types, methods of data collection, and basic descriptive statistics. Special emphasis will be placed on developing a theoretical framework and the pre-evaluation stage of empirical work. The practice-oriented sessions will introduce students to statistical programming and computing using Stata. Additionally, students will engage with scientific literature by reading and presenting articles from top-tier management journals, with a particular focus on strategy research. The knowledge and competencies gained in this course will be applied in a group project, where students will actively undertake the necessary steps to design and conduct their own empirical research. As part of this process, students will be required to obtain real-world (secondary) data to perform descriptive statistics in Empirical Methods I and conduct hypothesis testing in Empirical Methods II.The 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, the majority of sessions will be in one of the PC-labs at the OMP. However, two additional sessions held via Zoom, in which case students are required to ensure stable Internet connection and be able to join using their web cameras. The exact format of individual sessions will be announced in the course syllabus.
Assessment and permitted materials
35% - written exam
35% - empirical project (i.e., own paper including a presentation)
30% - class participation (i.e., home assignments, STATA skill test, and presentation of an empirical paper)
35% - empirical project (i.e., own paper including a presentation)
30% - class participation (i.e., home assignments, STATA skill test, and presentation of an empirical paper)
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%]
Group 2
max. 30 participants
Language: English
LMS: Moodle
Lecturers
Classes
DI 04.03.2025 15.00-18.15 PC-Seminarraum 5 Oskar-Morgenstern-Platz 1 1.Untergeschoß (Bestätigt)
DI 11.03.2025 11.30-14.45 PC-Seminarraum 5 Oskar-Morgenstern-Platz 1 1.Untergeschoß (Bestätigt)
DI 18.03.2025 15.00-18.15 PC-Seminarraum 5 Oskar-Morgenstern-Platz 1 1.Untergeschoß (Bestätigt)
DI 25.03.2025 15.00-18.15 PC-Seminarraum 5 Oskar-Morgenstern-Platz 1 1.Untergeschoß (Bestätigt)
DI 01.04.2025 15.00-18.15 PC-Seminarraum 5 Oskar-Morgenstern-Platz 1 1.Untergeschoß (Bestätigt)
DI 08.04.2025 15.00-18.15 PC-Seminarraum 5 Oskar-Morgenstern-Platz 1 1.Untergeschoß (Bestätigt)
FR 11.04.2025 16.45-18.15 Hörsaal 4 Oskar-Morgenstern-Platz 1 Erdgeschoß (Bestätigt)
DI 06.05.2025 16.45-18.15 PC-Seminarraum 2 Oskar-Morgenstern-Platz 1 1.Untergeschoß (Bestätigt)
DI 13.05.2025 09.45-13.00 Digital (Bestätigt)
DI 17.06.2025 09.45-13.00 Digital (Bestätigt)
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 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. 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 exams, will be held in person. The exact format of individual sessions will be announced during Session 1.
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. 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 exams, will be held in person. The exact format of individual sessions will be announced during Session 1.
Assessment and permitted materials
30% - class participation (i.e., home assignments, STATA skill test and presentation of an empirical paper)
35% - written exam
35% - empirical project (i.e., own paper including a presentation)
35% - written exam
35% - empirical project (i.e., own paper including a presentation)
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. 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%]
Grading scheme:
5 – [0%; 50%)
4 – [50%; 62.5%)
3 – [62.5%; 75%)
2 – [75%; 87.5%)
1 – [87.5%; 100%]
Information
Examination topics
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.
Reading list
Necessary literature will be discussed in class.For further information, please refer to: https://strategy.univie.ac.at/
Association in the course directory
Last modified: Mo 12.05.2025 14:45