Universität Wien

040088 UE Empirical Methods I (MA) (2022S)

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

Summary

1 MIXED Lego , Moodle
2 Richter , 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

max. 30 participants
Language: English
LMS: Moodle

Lecturers

Classes (iCal) - next class is marked with N

Given the current Covid-19 situation, but also our goal to maintain a high quality and interactive class, the class should be held in-person (all sessions that have a "Hörsaal", a "Seminarraum" or a "PC-Seminarraum" listed), with a few sessions held via Zoom (will be announced in the first session). In this spirit, your physical presence at the faculty is absolutely mandatory for all ("offline") sessions held in-person. To enter the university building, however, you will need to respect the 2,5G-rule currently in place (vaccinated, PCR tested, or recovered) which will always be checked upon entering the faculty.
Respecting the current Covid-19 situation, however, please be flexible within this hybrid (combined) format of a class and be prepared for changes in the format, if necessary. We might be forced to shift some of the offline sessions to an online format - should that be the case, you are required to enter our Zoom sessions using your audio and video input.
The exact format of individual sessions and any changes to the current format of this class will always be announced in due time and will depend on the pandemic situation and the then-current governmental and university restrictions.

  • Friday 04.03. 11:30 - 14:45 Seminarraum 14 Oskar-Morgenstern-Platz 1 2.Stock
  • Friday 18.03. 11:30 - 14:45 Seminarraum 14 Oskar-Morgenstern-Platz 1 2.Stock
  • Friday 25.03. 11:30 - 14:45 PC-Seminarraum 2 Oskar-Morgenstern-Platz 1 1.Untergeschoß
    Seminarraum 14 Oskar-Morgenstern-Platz 1 2.Stock
  • Friday 01.04. 11:30 - 14:45 PC-Seminarraum 3 Oskar-Morgenstern-Platz 1 1.Untergeschoß
    Seminarraum 14 Oskar-Morgenstern-Platz 1 2.Stock
  • Friday 08.04. 11:30 - 14:45 PC-Seminarraum 2 Oskar-Morgenstern-Platz 1 1.Untergeschoß
    Seminarraum 14 Oskar-Morgenstern-Platz 1 2.Stock
  • Friday 29.04. 11:30 - 14:45 Hörsaal 16 Oskar-Morgenstern-Platz 1 2.Stock
  • Friday 06.05. 09:45 - 13:00 Digital
  • Friday 13.05. 11:30 - 14:45 Seminarraum 14 Oskar-Morgenstern-Platz 1 2.Stock
  • Friday 20.05. 11:30 - 14:45 Seminarraum 14 Oskar-Morgenstern-Platz 1 2.Stock
  • Friday 27.05. 11:30 - 14:45 Hörsaal 4 Oskar-Morgenstern-Platz 1 Erdgeschoß
  • Friday 03.06. 11:30 - 14:45 Digital

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 usually held in one of the PC-labs at the OMP 1. Given the current Covid-19 situation, but also our goal to maintain a high quality and interactive class, this semester, the class should be held in-person with a few selected sessions held via Zoom. In this spirit, 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! In all sessions held in-person, students are required to attend, respecting the 2,5G-rule (vaccinated, PCR-tested, or recovered). The exact format of individual sessions will be announced in due time! For now, please refer to the information indicated above the class-schedule.

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/

Group 2

max. 30 participants
Language: English
LMS: Moodle

Lecturers

Classes (iCal) - next class is marked with N

Given the current Covid-19 situation, but also our goal to maintain a high quality and interactive class, the class should be held in-person (all sessions that have a "Hörsaal", a "Seminarraum" or a "PC-Seminarraum" listed). In this spirit, your physical presence at the faculty is absolutely mandatory for all ("offline") sessions held in-person. To enter the university building, however, you will need to respect the 2,5G-rule currently in place (vaccinated, PCR tested, or recovered) which will always be checked upon entering the faculty.
Respecting the current Covid-19 situation, however, please be flexible with the format of this class and be prepared for changes, if necessary. We might be forced to shift some of the offline sessions to an online format - should that be the case, you are required to enter our Zoom sessions using your audio and video input.
The exact format of individual sessions and any changes to the current format of this class will always be announced in due time and will depend on the pandemic situation and the then-current governmental and university restrictions.

  • Tuesday 17.05. 08:00 - 11:15 Hörsaal 12 Oskar-Morgenstern-Platz 1 2.Stock
  • Friday 20.05. 09:45 - 13:00 Hörsaal 15 Oskar-Morgenstern-Platz 1 2.Stock
  • Tuesday 24.05. 08:00 - 11:15 Hörsaal 16 Oskar-Morgenstern-Platz 1 2.Stock
  • Friday 27.05. 09:45 - 13:00 PC-Seminarraum 2 Oskar-Morgenstern-Platz 1 1.Untergeschoß
  • Tuesday 31.05. 08:00 - 11:15 PC-Seminarraum 2 Oskar-Morgenstern-Platz 1 1.Untergeschoß
  • Friday 03.06. 09:45 - 13:00 Seminarraum 16 Oskar-Morgenstern-Platz 1 3.Stock
  • Friday 10.06. 09:45 - 11:15 PC-Seminarraum 5 Oskar-Morgenstern-Platz 1 1.Untergeschoß
  • Friday 17.06. 09:45 - 13:00 Seminarraum 14 Oskar-Morgenstern-Platz 1 2.Stock

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 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 usually held in one of the PC-labs at the OMP1. Given the current Covid-19 situation, however, but also our goal to maintain a high quality and interactive class, this semester, the class should be held online via Zoom with only the exam-session taking place at the university. In this spirit, 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, but also a video connection is required! In all sessions held in-person at the university campus, students are required to attend respecting the 2,5G-rule (vaccinated, PCR-tested, or recovered). Please note that entry regulations for the university building are subject to change and students will be informed in case of changes. The exact format of individual sessions will be announced in due time! For now, please refer to the information indicated above the class schedule.

Assessment and permitted materials

Students will be assessed based on their class participation (reviews, home assignments, and a presentation of an empirical paper), a written exam, and a final empirical project (group work), which also includes a group presentation of findings. The final project and presentation account jointly 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 (2.25 hours). 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. 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: Th 11.05.2023 11:27