040088 UE Empirical Methods I (MA) (2021W)
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 13.09.2021 09:00 to Th 23.09.2021 12:00
- Registration is open from Mo 27.09.2021 09:00 to We 29.09.2021 12:00
- Deregistration possible until Fr 15.10.2021 23:59
Registration information is available for each group.
Groups
Group 1
Pre-requisites:Admission to the Master's programmeAttendance: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
IMPORTANT:
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" listed), with some sessions held via Zoom (all sessions denoted "Digital"). 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 3G-rule (vaccinated, 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 restrictions.
Monday
04.10.
11:30 - 14:45
Hörsaal 5 Oskar-Morgenstern-Platz 1 Erdgeschoß
Monday
11.10.
11:30 - 14:45
Hörsaal 5 Oskar-Morgenstern-Platz 1 Erdgeschoß
Monday
18.10.
11:30 - 14:45
Hörsaal 5 Oskar-Morgenstern-Platz 1 Erdgeschoß
Monday
25.10.
11:30 - 14:45
Hörsaal 5 Oskar-Morgenstern-Platz 1 Erdgeschoß
Monday
08.11.
11:30 - 14:45
Hörsaal 5 Oskar-Morgenstern-Platz 1 Erdgeschoß
Monday
15.11.
11:30 - 14:45
Hörsaal 5 Oskar-Morgenstern-Platz 1 Erdgeschoß
Monday
22.11.
11:30 - 14:45
Digital
Monday
29.11.
11:30 - 14:45
Digital
Monday
06.12.
11:30 - 13:00
Hörsaal 14 Oskar-Morgenstern-Platz 1 2.Stock
Monday
13.12.
11:30 - 14:45
Hörsaal 5 Oskar-Morgenstern-Platz 1 Erdgeschoß
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 might be held in-person or via Zoom (or combined). 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 3G-rule (vaccinated, 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.
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. 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%].
Grading scheme: [0%;50%) [50%;62.5%) [62.5%;75%) [75%;87.5%) [87.5%;100%].
Reading list
Necessary literature will be discussed in class!
For further information, please refer to: https://strategy.univie.ac.at/
For further information, please refer to: https://strategy.univie.ac.at/
Group 2
Pre-requisites:Admission to the Master's programmeAttendance: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
Given the current Covid-19 situation, but also our goal to maintain a high quality and interactive class, the class is held via Zoom with a final exam-session that is held in person (i.e., your attendance is required at the university to participate in the final exam). Should there be any changes due to then-current pandemic restrictions, the exact format of individual sessions will be announced in due time.
Monday
08.11.
11:30 - 14:45
Digital
Thursday
11.11.
11:30 - 14:45
Digital
Monday
15.11.
11:30 - 14:45
Digital
Thursday
18.11.
11:30 - 14:45
Digital
Monday
22.11.
11:30 - 14:45
Digital
Thursday
25.11.
11:30 - 14:45
Digital
Monday
29.11.
11:30 - 14:45
Digital
Thursday
02.12.
11:30 - 14:45
Digital
Monday
06.12.
11:30 - 13:00
Hörsaal 14 Oskar-Morgenstern-Platz 1 2.Stock
Monday
13.12.
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 might be held in-person or via Zoom (or combined). 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! The exact format of individual sessions will be announced in due time!
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. 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%]
Grading scheme: [0%;50%) [50%;62.5%) [62.5%;75%) [75%;87.5%) [87.5%;100%]
Reading list
Necessary literature will be discussed in class.
For further information, please refer to: https://strategy.univie.ac.at/
For further information, please refer to: https://strategy.univie.ac.at/
Information
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.
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.
Association in the course directory
Last modified: Fr 12.05.2023 00:12