210018 UE BAK 4 Quantitative Methods of Empirical Social Research (2023W)
(engl.)
Continuous assessment of course work
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ON-SITE
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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 We 06.09.2023 08:00 to We 20.09.2023 08:00
- Registration is open from Fr 22.09.2023 08:00 to We 27.09.2023 08:00
- Deregistration possible until Fr 20.10.2023 23:59
Details
max. 35 participants
Language: English
Lecturers
Classes (iCal) - next class is marked with N
Thursday
12.10.
11:30 - 13:00
Class Room 3 ZID UniCampus Hof 7 Eingang 7.1 2H-O1-25
Thursday
19.10.
11:30 - 13:00
Class Room 3 ZID UniCampus Hof 7 Eingang 7.1 2H-O1-25
Thursday
09.11.
11:30 - 13:00
Class Room 3 ZID UniCampus Hof 7 Eingang 7.1 2H-O1-25
Thursday
16.11.
11:30 - 13:00
Class Room 3 ZID UniCampus Hof 7 Eingang 7.1 2H-O1-25
Thursday
23.11.
11:30 - 13:00
Class Room 3 ZID UniCampus Hof 7 Eingang 7.1 2H-O1-25
Thursday
30.11.
11:30 - 13:00
Class Room 3 ZID UniCampus Hof 7 Eingang 7.1 2H-O1-25
Thursday
07.12.
11:30 - 13:00
Class Room 3 ZID UniCampus Hof 7 Eingang 7.1 2H-O1-25
Thursday
14.12.
11:30 - 13:00
Class Room 3 ZID UniCampus Hof 7 Eingang 7.1 2H-O1-25
Thursday
11.01.
11:30 - 13:00
Class Room 3 ZID UniCampus Hof 7 Eingang 7.1 2H-O1-25
Thursday
18.01.
11:30 - 13:00
Class Room 3 ZID UniCampus Hof 7 Eingang 7.1 2H-O1-25
Thursday
25.01.
11:30 - 13:00
Class Room 3 ZID UniCampus Hof 7 Eingang 7.1 2H-O1-25
Information
Aims, contents and method of the course
This course is complementary to the course “210014 VO BAK 4 Quantitative Methoden der empirischen Sozialforschung (2023W)” taught by Associate Professor Christopher Wratil.This course aims 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 appropriately interpret and present quantitative research findings.Please note that the course will be instructed in English. This requires that class discussions, weekly assignments, written tests, and the final paper are completed in English.
Assessment and permitted materials
The final assessment will be based on the following components:
(1) Participation (10 points) Regular attendance in class (maximum 2 classes can be missed) and active participation in class discussions.
(2) Five homework assignments (25 points): Assignments will be based on materials in the course texts. Students are allowed to work in groups, but assignments must be submitted individually. The Turnitin program will ensure that no plagiarism occurs.
(3) A mid-term exam before Christmas (25 points): The test will concern theoretical questions about quantitative methods of empirical social research and interpretation of Stata outputs. 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, that formulates and answers a research question with quantitative methods.Students must submit their assignments in PDF format and the corresponding Stata files (the code). The software Turnitin will be used to check plagiarism.
(1) Participation (10 points) Regular attendance in class (maximum 2 classes can be missed) and active participation in class discussions.
(2) Five homework assignments (25 points): Assignments will be based on materials in the course texts. Students are allowed to work in groups, but assignments must be submitted individually. The Turnitin program will ensure that no plagiarism occurs.
(3) A mid-term exam before Christmas (25 points): The test will concern theoretical questions about quantitative methods of empirical social research and interpretation of Stata outputs. 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, that formulates and answers a research question with quantitative methods.Students must submit their assignments in PDF format and the corresponding Stata files (the code). 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 (2023W)”. Prior knowledge of the software Stata is helpful but not required.Minimum requirements:
In order to complete the course with a positive grade, attendance is mandatory (only two classes can be missed), and submitting all assignments.Grading Scale:
- 100-87 Points Excellent (1)
- 86-75 Points Good (2)
- 74-63 Points Satisfactory (3)
- 62-50 Points Sufficient (4)
- 49-0 Points Insufficient (5)
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 (2023W)”. Prior knowledge of the software Stata is helpful but not required.Minimum requirements:
In order to complete the course with a positive grade, attendance is mandatory (only two classes can be missed), and submitting all assignments.Grading Scale:
- 100-87 Points Excellent (1)
- 86-75 Points Good (2)
- 74-63 Points Satisfactory (3)
- 62-50 Points Sufficient (4)
- 49-0 Points Insufficient (5)
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.
Reading list
- Alan Agresti (2018). Statistical methods for the social sciences (5th edition). New Jersey: Pearson Education International.Further readings may be announced in the course.
Association in the course directory
Last modified: Fr 29.09.2023 14:47