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210026 UE BAK4.2: UE Quantitative Methods of Empirical Social Research (2017W)
UE Quantitative Methods of Empirical Social Research(engl.)
Continuous assessment of course work
Labels
Eine Anmeldung über u:space innerhalb der Anmeldephase ist erforderlich! Eine nachträgliche Anmeldung ist NICHT möglich.
Studierende, die der ersten Einheit unentschuldigt fern bleiben, verlieren ihren Platz in der Lehrveranstaltung.Beachten Sie die Standards guter wissenschaftlicher Praxis.Die Lehrveranstaltungsleitung kann Studierende zu einem notenrelevanten Gespräch über erbrachte Teilleistungen einladen.
Plagiierte und erschlichene Teilleistungen führen zur Nichtbewertung der Lehrveranstaltung (Eintragung eines 'X' im Sammelzeugnis).
Studierende, die der ersten Einheit unentschuldigt fern bleiben, verlieren ihren Platz in der Lehrveranstaltung.Beachten Sie die Standards guter wissenschaftlicher Praxis.Die Lehrveranstaltungsleitung kann Studierende zu einem notenrelevanten Gespräch über erbrachte Teilleistungen einladen.
Plagiierte und erschlichene Teilleistungen führen zur Nichtbewertung der Lehrveranstaltung (Eintragung eines 'X' im Sammelzeugnis).
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 11.09.2017 08:00 to Mo 25.09.2017 08:00
- Registration is open from Th 28.09.2017 08:00 to Tu 03.10.2017 08:00
- Deregistration possible until Fr 13.10.2017 23:59
Details
max. 35 participants
Language: English
Lecturers
Classes (iCal) - next class is marked with N
- Monday 09.10. 10:00 - 11:30 Seminarraum 6 UniCampus Hof 7 Eingang 7.1 OG01 2H-O1-33
- Monday 16.10. 10:00 - 11:30 Seminarraum 6 UniCampus Hof 7 Eingang 7.1 OG01 2H-O1-33
- Monday 23.10. 10:00 - 11:30 Seminarraum 6 UniCampus Hof 7 Eingang 7.1 OG01 2H-O1-33
- Monday 30.10. 10:00 - 11:30 Seminarraum 6 UniCampus Hof 7 Eingang 7.1 OG01 2H-O1-33
- Monday 06.11. 10:00 - 11:30 Seminarraum 6 UniCampus Hof 7 Eingang 7.1 OG01 2H-O1-33
- Monday 13.11. 10:00 - 11:30 Seminarraum 6 UniCampus Hof 7 Eingang 7.1 OG01 2H-O1-33
- Monday 20.11. 10:00 - 11:30 Seminarraum 6 UniCampus Hof 7 Eingang 7.1 OG01 2H-O1-33
- Monday 27.11. 10:00 - 11:30 Seminarraum 6 UniCampus Hof 7 Eingang 7.1 OG01 2H-O1-33
- Monday 04.12. 10:00 - 11:30 Seminarraum 6 UniCampus Hof 7 Eingang 7.1 OG01 2H-O1-33
- Monday 11.12. 10:00 - 11:30 Seminarraum 6 UniCampus Hof 7 Eingang 7.1 OG01 2H-O1-33
- Monday 08.01. 10:00 - 11:30 Seminarraum 6 UniCampus Hof 7 Eingang 7.1 OG01 2H-O1-33
- Monday 15.01. 10:00 - 11:30 Seminarraum 6 UniCampus Hof 7 Eingang 7.1 OG01 2H-O1-33
- Monday 22.01. 10:00 - 11:30 Seminarraum 6 UniCampus Hof 7 Eingang 7.1 OG01 2H-O1-33
- Monday 29.01. 10:00 - 11:30 Seminarraum 6 UniCampus Hof 7 Eingang 7.1 OG01 2H-O1-33
Information
Aims, contents and method of the course
Assessment and permitted materials
The final assessment will be based on the following components:
(1) Regular attendance in class (maximum 2 classes can be missed)
(2) 3 short homework assignments (30% of final grade). The assignments will be posted on Moodle at the end of the class, and have to be completed before the beginning of the following class. Joint homework is possible, but for 2 students maximum.
(3) 1 short test in December (20% of final grade). The test will be conducted in class and will concern theoretical questions and/or interpretation of Stata output. Duration: max 45 minutes.
(4) Final assignment (50% of final grade). At the end of the course, the students will be required to write a final paper of 2000-2500 words, focusing mostly on methods with applications in Stata. Detailed instructions about the final assignment will be posted on Moodle and circulated in class before the end of the course. Joint work is NOT allowed for the final assignment. Final assignments need to be handed in by 31 March 2018.
Please note that all four components are essential for the final grade, i.e. students have to be present in class, hand in 3 homework assignments, complete the short test in December, and hand in the final assignment.
In cases of suspected plagiarism students may be called upon to reasonably demonstrate that any work they have submitted is their own.
(1) Regular attendance in class (maximum 2 classes can be missed)
(2) 3 short homework assignments (30% of final grade). The assignments will be posted on Moodle at the end of the class, and have to be completed before the beginning of the following class. Joint homework is possible, but for 2 students maximum.
(3) 1 short test in December (20% of final grade). The test will be conducted in class and will concern theoretical questions and/or interpretation of Stata output. Duration: max 45 minutes.
(4) Final assignment (50% of final grade). At the end of the course, the students will be required to write a final paper of 2000-2500 words, focusing mostly on methods with applications in Stata. Detailed instructions about the final assignment will be posted on Moodle and circulated in class before the end of the course. Joint work is NOT allowed for the final assignment. Final assignments need to be handed in by 31 March 2018.
Please note that all four components are essential for the final grade, i.e. students have to be present in class, hand in 3 homework assignments, complete the short test in December, and hand in the final assignment.
In cases of suspected plagiarism students may be called upon to reasonably demonstrate that any work they have submitted is their own.
Minimum requirements and assessment criteria
The final assessment will be based on the following components:
(1) Regular attendance in class (maximum 2 classes can be missed)
(2) 3 short homework assignments (30% of final grade). The assignments will be posted on Moodle at the end of the class, and have to be completed before the beginning of the following class. Joint homework is possible, but for 2 students maximum.
(3) 1 short test in December (20% of final grade). The test will be conducted in class and will concern theoretical questions and/or interpretation of Stata output. Duration: max 45 minutes.
(4) Final assignment (50% of final grade). At the end of the course, the students will be required to write a final paper of 2000-2500 words, focusing mostly on methods with applications in Stata. Detailed instructions about the final assignment will be posted on Moodle and circulated in class before the end of the course. Joint work is NOT allowed for the final assignment. Final assignments need to be handed in by 31 March 2018.
Please note that all four components are essential for the final grade, i.e. students have to be present in class, hand in 3 homework assignments, complete the short test in December, and hand in the final assignment.
In cases of suspected plagiarism students may be called upon to reasonably demonstrate that any work they have submitted is their own.
(1) Regular attendance in class (maximum 2 classes can be missed)
(2) 3 short homework assignments (30% of final grade). The assignments will be posted on Moodle at the end of the class, and have to be completed before the beginning of the following class. Joint homework is possible, but for 2 students maximum.
(3) 1 short test in December (20% of final grade). The test will be conducted in class and will concern theoretical questions and/or interpretation of Stata output. Duration: max 45 minutes.
(4) Final assignment (50% of final grade). At the end of the course, the students will be required to write a final paper of 2000-2500 words, focusing mostly on methods with applications in Stata. Detailed instructions about the final assignment will be posted on Moodle and circulated in class before the end of the course. Joint work is NOT allowed for the final assignment. Final assignments need to be handed in by 31 March 2018.
Please note that all four components are essential for the final grade, i.e. students have to be present in class, hand in 3 homework assignments, complete the short test in December, and hand in the final assignment.
In cases of suspected plagiarism students may be called upon to reasonably demonstrate that any work they have submitted is their own.
Examination topics
In addition to the homework assignments and the short test in December, the students have to hand in a final assignment by 31 March 2018. The final assignment will focus on different topics covered in class, and will include basic data analysis using the Stata commands learnt in class. Detailed instructions about the final assignment will be posted on Moodle and circulated in class before the end of the course.
Reading list
Reading materials will be made available in the entrance hall of the Department of Government (Rathaustrasse 19/9) after the first class. Please regularly check the course page on Moodle for the updated reading list, and for additional reading materials.
Suggested readings:
- Paul M. Kellstedt, and Guy D. Whitten. 2013. The fundamentals of political science research. Cambridge: Cambridge University Press
- Alan Agresti and Barbara Finaly. 2009. Statistical methods for the social sciences (fourth edition). New Jersey: Pearson Education International
- Alan C. Acock. 2014. A Gentle Introduction to Stata (4th Edition). College Station, Texas: Stata Press
Suggested readings:
- Paul M. Kellstedt, and Guy D. Whitten. 2013. The fundamentals of political science research. Cambridge: Cambridge University Press
- Alan Agresti and Barbara Finaly. 2009. Statistical methods for the social sciences (fourth edition). New Jersey: Pearson Education International
- Alan C. Acock. 2014. A Gentle Introduction to Stata (4th Edition). College Station, Texas: Stata Press
Association in the course directory
Last modified: Th 14.11.2024 00:15
a) Principles and methods of quantitative empirical social research.
- What are the key features of empirical research based on quantitative methods?
b) Overview of basic statistics and their application.
- How can I describe the collected material or "data" and test my hypotheses?
c) Learning basic commands of the statistical software Stata.
- How can I process my data efficiently?