210025 UE BAK 4 Quantitative Methoden der empirischen Sozialforschung (2021W)
(engl.)
Prüfungsimmanente Lehrveranstaltung
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DIGITAL
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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.
An/Abmeldung
Hinweis: Ihr Anmeldezeitpunkt innerhalb der Frist hat keine Auswirkungen auf die Platzvergabe (kein "first come, first served").
- Anmeldung von Mo 06.09.2021 08:00 bis Mo 20.09.2021 08:00
- Anmeldung von Mi 22.09.2021 08:00 bis Mi 29.09.2021 08:00
- Abmeldung bis Fr 22.10.2021 23:59
Details
max. 35 Teilnehmer*innen
Sprache: Englisch
Lehrende
Termine
DI wtl von 05.10.2021 bis 25.01.2022 18.45-20.15 Ort: Digital
Information
Ziele, Inhalte und Methode der Lehrveranstaltung
This course is complementary to the theoretical course “BAK 4 Quantitative methods in the empirical social sciences (2021W)” taught by Professor Markus Wagner. 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 is course will be hands-on and practical. The VO lecture component will cover more abstract ideas. Students are strongly encouraged to attend that lecture as well. Given the COVID situation and restrictions at the University, (until further notice) the format of instruction will be online.
Art der Leistungskontrolle und erlaubte Hilfsmittel
The final assessment will be based on the following components:
(1) 3 short homework assignments (30% 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.
(2) 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. This exam may occur on Moodle. Duration: max 45 minutes.
(3) Two-Page Final Research Assignment Proposal (5% of final grade): 28 February 2022
(4) 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: 31 March 2022.Final grades will be a summation of these:
100-90 Points Excellent (1)
89-80 Points Good (2)
79-70 Points Satisfactory (3)
69-60 Points Sufficient (4)
59-0 Points Insufficient (5)
(1) 3 short homework assignments (30% 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.
(2) 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. This exam may occur on Moodle. Duration: max 45 minutes.
(3) Two-Page Final Research Assignment Proposal (5% of final grade): 28 February 2022
(4) 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: 31 March 2022.Final grades will be a summation of these:
100-90 Points Excellent (1)
89-80 Points Good (2)
79-70 Points Satisfactory (3)
69-60 Points Sufficient (4)
59-0 Points Insufficient (5)
Mindestanforderungen und Beurteilungsmaßstab
Please note that all four components are essential for the final grade, i.e. hand in 3 homework assignments, complete the short test, submit the two-page final research assignment proposal, and hand in 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 (TurnItIn via Moodle will be used to detect plagiarism). A passing grade on each component is not required for a passing grade in the course.
Prüfungsstoff
The short 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 final assignment will be posted on Moodle and circulated in class before the end of the course.
Literatur
If you do not have access to the university computer laboratories, purchasing STATA is required for this course. The university offers this software for 15Euro https://academic.softwareone.com/#/UniWien_Studierende/products?query=stataAll reading materials are available from the Political Science and Sociology Library (Rooseveltplatz) reference. The first text listed will be the primary text. You are encouraged to use their copies or purchase your own. Limited readings from other texts will be provided on Moodle. Supplemental texts are also available at the library.Required 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 PressSupplemental Texts:
- Alan C. Acock. 2014. A Gentle Introduction to Stata (6th edition). College Station, Texas: Stata Press
- Alan Agresti and Barbara Finaly. 2009. Statistical methods for the social sciences (4th 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 PressSupplemental Texts:
- Alan C. Acock. 2014. A Gentle Introduction to Stata (6th edition). College Station, Texas: Stata Press
- Alan Agresti and Barbara Finaly. 2009. Statistical methods for the social sciences (4th 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: Mo 18.10.2021 14:08