210017 UE BAK 4 Quantitative Methods of Empirical Social Research (2022W)
(engl.)
Continuous assessment of course work
Labels
ON-SITE
Eine Anmeldung über u:space innerhalb der Anmeldephase ist erforderlich! Eine nachträgliche Anmeldung ist NICHT möglich.
Studierende, die der ersten Einheit unentschuldigt fernbleiben, verlieren ihren Platz in der Lehrveranstaltung.Achten Sie auf die Einhaltung der Standards guter wissenschaftlicher Praxis und die korrekte Anwendung der Techniken wissenschaftlichen Arbeitens und Schreibens.
Plagiierte und erschlichene Teilleistungen führen zur Nichtbewertung der Lehrveranstaltung (Eintragung eines 'X' im Sammelzeugnis).
Die Lehrveranstaltungsleitung kann Studierende zu einem notenrelevanten Gespräch über erbrachte Teilleistungen einladen.
Studierende, die der ersten Einheit unentschuldigt fernbleiben, verlieren ihren Platz in der Lehrveranstaltung.Achten Sie auf die Einhaltung der Standards guter wissenschaftlicher Praxis und die korrekte Anwendung der Techniken wissenschaftlichen Arbeitens und Schreibens.
Plagiierte und erschlichene Teilleistungen führen zur Nichtbewertung der Lehrveranstaltung (Eintragung eines 'X' im Sammelzeugnis).
Die Lehrveranstaltungsleitung kann Studierende zu einem notenrelevanten Gespräch über erbrachte Teilleistungen einladen.
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 05.09.2022 08:00 to Mo 19.09.2022 08:00
- Registration is open from We 21.09.2022 08:00 to Tu 27.09.2022 08:00
- Deregistration possible until Mo 24.10.2022 23:59
Details
max. 35 participants
Language: English
Lecturers
Classes (iCal) - next class is marked with N
Thursday
06.10.
11:30 - 13:00
Class Room 4 ZID UniCampus Hof 7 Eingang 7.1 2H-O1-33
Thursday
13.10.
11:30 - 13:00
Class Room 4 ZID UniCampus Hof 7 Eingang 7.1 2H-O1-33
Thursday
20.10.
11:30 - 13:00
Class Room 4 ZID UniCampus Hof 7 Eingang 7.1 2H-O1-33
Thursday
27.10.
11:30 - 13:00
Class Room 4 ZID UniCampus Hof 7 Eingang 7.1 2H-O1-33
Thursday
03.11.
11:30 - 13:00
Class Room 4 ZID UniCampus Hof 7 Eingang 7.1 2H-O1-33
Thursday
10.11.
11:30 - 13:00
Class Room 4 ZID UniCampus Hof 7 Eingang 7.1 2H-O1-33
Thursday
17.11.
11:30 - 13:00
Class Room 4 ZID UniCampus Hof 7 Eingang 7.1 2H-O1-33
Thursday
24.11.
11:30 - 13:00
Class Room 4 ZID UniCampus Hof 7 Eingang 7.1 2H-O1-33
Thursday
01.12.
11:30 - 13:00
Class Room 4 ZID UniCampus Hof 7 Eingang 7.1 2H-O1-33
Thursday
15.12.
11:30 - 13:00
Class Room 4 ZID UniCampus Hof 7 Eingang 7.1 2H-O1-33
Thursday
12.01.
11:30 - 13:00
Class Room 4 ZID UniCampus Hof 7 Eingang 7.1 2H-O1-33
Thursday
19.01.
11:30 - 13:00
Class Room 4 ZID UniCampus Hof 7 Eingang 7.1 2H-O1-33
Thursday
26.01.
11:30 - 13:00
Class Room 4 ZID UniCampus Hof 7 Eingang 7.1 2H-O1-33
Information
Aims, contents and method of the course
This course is complementary to the course “210014 VO BAK 4 Quantitative Methoden der empirischen Sozialforschung (2022W)” taught by Professor Markus Wagner.The aim of the course is to equip students with the basic applied skills needed to carry out easy data projects on their own. The content of the course includes basic descriptive and inferential statistics, as well as the graphic representation of results.The course design relies on practical exercises in the computer lab and interactive discussions. Students will revise the basics of empirical quantitative research methods and learn to apply the basic tools of quantitative data analysis using the software Stata.By the end of the course, students should be able to describe and manipulate a dataset and conduct basic inferential analyses with Stata. Students should also be able to develop and answer research questions using quantitative methods and to present quantitative research findings appropriately.
Assessment and permitted materials
The final assessment will be based on the following components:(1) Participation (10 points): Regular attendance and active participation in class activities such as software tasks and discussions.(2) Four homework assignments (25 points): Assignments will be based on materials in the course texts.(3) A mid-term exam before Christmas (25 points): The test will concern theoretical questions about quantitative methods of empirical social research and/or interpretation of Stata output. Duration: max. 45 minutes.(4) Final assignment (40 points): At the end of the course, you will be required to write a final paper of 2.000-2.500 words, focusing on quantitative methods with applications in Stata.Students have to submit their assignments as a pdf and always include the corresponding Stata files. The software Turnitin will be used to check plagiarism.
Minimum requirements and assessment criteria
Attendance policy:
Attendance in the first session of the course is compulsory. Students missing the first session will be deregistered from the course. During the semester, students are allowed to miss up to two classes.Prerequisites:
A basic understanding of empirical research and statistics is assumed. Students are therefore expected to attend the course “210014 VO BAK 4 Quantitative Methoden der empirischen Sozialforschung (2022W)”. Prior knowledge of the software Stata is helpful but not required.Minimum requirements:
In order to complete the course with a positive grade students have to attempt all course components and their assignments.Grading Scale:
90-100 points = 1 (excellent)
80-89 points = 2 (good)
70-79 points = 3 (satisfactory)
60-69 points = 4 (sufficient)
< 60 points = 5 (fail)
Attendance in the first session of the course is compulsory. Students missing the first session will be deregistered from the course. During the semester, students are allowed to miss up to two classes.Prerequisites:
A basic understanding of empirical research and statistics is assumed. Students are therefore expected to attend the course “210014 VO BAK 4 Quantitative Methoden der empirischen Sozialforschung (2022W)”. Prior knowledge of the software Stata is helpful but not required.Minimum requirements:
In order to complete the course with a positive grade students have to attempt all course components and their assignments.Grading Scale:
90-100 points = 1 (excellent)
80-89 points = 2 (good)
70-79 points = 3 (satisfactory)
60-69 points = 4 (sufficient)
< 60 points = 5 (fail)
Examination topics
The examination will focus on different statistical concepts covered in class and will include basic data analysis using the software Stata. Detailed instructions about the homework assignments and the final assignment will be posted on Moodle in due time.The final paper is due on February 15th 2023.
Reading list
- Alan Agresti (2018). Statistical methods for the social sciences (5th edition). New Jersey: Pearson Education International.Further readings will be announced in the course.
Association in the course directory
Last modified: We 28.09.2022 11:49