210020 UE BAK 4 Quantitative Methods of Empirical Social Research (2022W)
(engl.)
Prüfungsimmanente Lehrveranstaltung
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VOR-ORT
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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.
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Hinweis: Ihr Anmeldezeitpunkt innerhalb der Frist hat keine Auswirkungen auf die Platzvergabe (kein "first come, first served").
- Anmeldung von Mo 05.09.2022 08:00 bis Mo 19.09.2022 08:00
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Details
max. 35 Teilnehmer*innen
Sprache: Englisch
Lehrende
Termine (iCal) - nächster Termin ist mit N markiert
- Dienstag 04.10. 16:45 - 18:15 Class Room 3 ZID UniCampus Hof 7 Eingang 7.1 2H-O1-25
- Dienstag 11.10. 16:45 - 18:15 Class Room 3 ZID UniCampus Hof 7 Eingang 7.1 2H-O1-25
- Dienstag 18.10. 16:45 - 18:15 Class Room 3 ZID UniCampus Hof 7 Eingang 7.1 2H-O1-25
- Dienstag 25.10. 16:45 - 18:15 Class Room 3 ZID UniCampus Hof 7 Eingang 7.1 2H-O1-25
- Dienstag 08.11. 16:45 - 18:15 Class Room 3 ZID UniCampus Hof 7 Eingang 7.1 2H-O1-25
- Dienstag 15.11. 16:45 - 18:15 Class Room 3 ZID UniCampus Hof 7 Eingang 7.1 2H-O1-25
- Dienstag 22.11. 16:45 - 18:15 Class Room 3 ZID UniCampus Hof 7 Eingang 7.1 2H-O1-25
- Dienstag 29.11. 16:45 - 18:15 Class Room 3 ZID UniCampus Hof 7 Eingang 7.1 2H-O1-25
- Dienstag 06.12. 16:45 - 18:15 Class Room 3 ZID UniCampus Hof 7 Eingang 7.1 2H-O1-25
- Dienstag 13.12. 16:45 - 18:15 Class Room 3 ZID UniCampus Hof 7 Eingang 7.1 2H-O1-25
- Dienstag 10.01. 16:45 - 18:15 Class Room 3 ZID UniCampus Hof 7 Eingang 7.1 2H-O1-25
- Dienstag 17.01. 16:45 - 18:15 Class Room 3 ZID UniCampus Hof 7 Eingang 7.1 2H-O1-25
- Dienstag 24.01. 16:45 - 18:15 Class Room 3 ZID UniCampus Hof 7 Eingang 7.1 2H-O1-25
- Dienstag 31.01. 16:45 - 18:15 Class Room 3 ZID UniCampus Hof 7 Eingang 7.1 2H-O1-25
Information
Ziele, Inhalte und Methode der Lehrveranstaltung
The aim of the course is to equip students with the basic applied skills for easy data projects. The content of the course includes descriptive univariate (scale levels, position and dispersion measures, frequency tables) and bivariate (cross tables, correlation measures for different scale levels) analysis methods, as well as the graphic representation of results and the basics of inferential regression statistics. The core focus of this course will be hands-on and practical.Students will learn the basic “tools” to conduct quantitative data analysis, using the statistical software Stata. Theoretical concepts of descriptive and inferential statistics will be briefly discussed in class, in combination with their practical application using existing databases typical of those in the field of political science. By the end of the course, you should be able to describe a dataset and conduct basic inferential analysis using the main commands implemented in Stata.At the end of the course, students should know and understand the basic methods and simple statistical procedures in the social sciences, as well as be able to interpret and evaluate the results of quantitative social research in research and the media. You should also be able to develop questions yourself and answer them using quantitative methods and be able to present the results of quantitative research appropriately.Please note that the course will be instructed in English. This requires that class discussions, weekly assignments, written tests and the term paper are completed in English.In order to participate, you need to purchase the statistical software Stata. A discounted version for students (15€/year) is available at the following link: https://academic.softwareone.com/#/UniWien_Studierende/products?query=Stata
Art der Leistungskontrolle und erlaubte Hilfsmittel
The final assessment will be based on the following components:- Attendance/Participation (10% of final grade): regular attendance in class (maximum 2 classes can be missed)
- 3 short homework assignments (25% of final grade) based on materials in the course texts. Students are encouraged to form study groups but assignments must be completed individually. The Turnitin program will ensure that no plagiarism occurs.
- 1 short test (25% 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.
- Final assignment (40% of final grade). At the end of the course, you 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. The Turnitin program will ensure that no plagiarism occurs.Deadline for handing in the final assignment: 28 February 2023.Final grades will be a summation of these:
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)
- 3 short homework assignments (25% of final grade) based on materials in the course texts. Students are encouraged to form study groups but assignments must be completed individually. The Turnitin program will ensure that no plagiarism occurs.
- 1 short test (25% 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.
- Final assignment (40% of final grade). At the end of the course, you 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. The Turnitin program will ensure that no plagiarism occurs.Deadline for handing in the final assignment: 28 February 2023.Final grades will be a summation of these:
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)
Mindestanforderungen und Beurteilungsmaßstab
Please note that all four components are essential for the final grade, i.e. regularly attend classes, hand in homework assignments, complete the short test, and submit the final assignment. In cases of suspected plagiarism, you may be called upon to reasonably demonstrate that any work they you have submitted is your own (the anti-plagiarism software Turnitin will be used via Moodle to detect plagiarism). A passing grade on each component is not required for a passing grade in the course.
Prüfungsstoff
The examination 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 homework, the test and the final assignment will be shared on Moodle in due time.
Literatur
Recommended Texts:
- Philip H Pollock III and Barry C. Edwards. (2018). A Stata® companion to political analysis. CQ Press/SAGE Publications
- Kyle C. Longest. (2019). Using Stata for quantitative analysis. SAGE Publications.
- Paul M. Kellstedt, and Guy D. Whitten. (2018) (3rd edition). The fundamentals of political science research. Cambridge: Cambridge University Press
- Paul M Kellstedt and Guy D. Whitten. (2019). A Stata Companion for the Third Edition of The Fundamentals of Political Science Research. Cambridge University PressSupplementary materials:
- Alan C. Acock. (2014). A Gentle Introduction to Stata (6th edition). College Station, Texas: Stata Press
- Alan Agresti. (2018). Statistical methods for the social sciences (5th edition). New Jersey: Pearson Education International
- Donald J. Treiman. (2009). Quantitative Data Analysis. Doing Social Research to Test Ideas. San Francisco: Jossey-Bass.
- Philip H Pollock III and Barry C. Edwards. (2018). A Stata® companion to political analysis. CQ Press/SAGE Publications
- Kyle C. Longest. (2019). Using Stata for quantitative analysis. SAGE Publications.
- Paul M. Kellstedt, and Guy D. Whitten. (2018) (3rd edition). The fundamentals of political science research. Cambridge: Cambridge University Press
- Paul M Kellstedt and Guy D. Whitten. (2019). A Stata Companion for the Third Edition of The Fundamentals of Political Science Research. Cambridge University PressSupplementary materials:
- Alan C. Acock. (2014). A Gentle Introduction to Stata (6th edition). College Station, Texas: Stata Press
- Alan Agresti. (2018). Statistical methods for the social sciences (5th edition). New Jersey: Pearson Education International
- Donald J. Treiman. (2009). Quantitative Data Analysis. Doing Social Research to Test Ideas. San Francisco: Jossey-Bass.
Zuordnung im Vorlesungsverzeichnis
Letzte Änderung: Di 04.10.2022 13:29