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230032 UE Methods of Empirical Social Research (2023W)
Prüfungsimmanente Lehrveranstaltung
Labels
An/Abmeldung
Hinweis: Ihr Anmeldezeitpunkt innerhalb der Frist hat keine Auswirkungen auf die Platzvergabe (kein "first come, first served").
- Anmeldung von Fr 25.08.2023 10:00 bis Di 19.09.2023 10:00
- Anmeldung von Fr 22.09.2023 10:00 bis Di 26.09.2023 10:00
- Abmeldung bis Fr 20.10.2023 23:59
Details
max. 15 Teilnehmer*innen
Sprache: Englisch
Lehrende
Termine (iCal) - nächster Termin ist mit N markiert
- Dienstag 10.10. 09:45 - 11:15 Seminarraum H10, Rathausstraße 19, Stiege 2, Hochparterre
- Dienstag 17.10. 09:45 - 11:15 Seminarraum H10, Rathausstraße 19, Stiege 2, Hochparterre
- Dienstag 24.10. 09:45 - 11:15 Seminarraum H10, Rathausstraße 19, Stiege 2, Hochparterre
- Dienstag 31.10. 09:45 - 11:15 Seminarraum H10, Rathausstraße 19, Stiege 2, Hochparterre
- Dienstag 07.11. 09:45 - 11:15 Seminarraum H10, Rathausstraße 19, Stiege 2, Hochparterre
- Dienstag 14.11. 09:45 - 11:15 Seminarraum H10, Rathausstraße 19, Stiege 2, Hochparterre
- Dienstag 21.11. 09:45 - 11:15 Seminarraum H10, Rathausstraße 19, Stiege 2, Hochparterre
- Dienstag 28.11. 09:45 - 11:15 Seminarraum H10, Rathausstraße 19, Stiege 2, Hochparterre
- Dienstag 05.12. 09:45 - 11:15 Seminarraum H10, Rathausstraße 19, Stiege 2, Hochparterre
- Dienstag 12.12. 09:45 - 11:15 Seminarraum H10, Rathausstraße 19, Stiege 2, Hochparterre
- Dienstag 09.01. 09:45 - 11:15 Seminarraum H10, Rathausstraße 19, Stiege 2, Hochparterre
- Dienstag 16.01. 09:45 - 11:15 Seminarraum H10, Rathausstraße 19, Stiege 2, Hochparterre
- Dienstag 23.01. 09:45 - 11:15 Seminarraum H10, Rathausstraße 19, Stiege 2, Hochparterre
- Dienstag 30.01. 09:45 - 11:15 Seminarraum H10, Rathausstraße 19, Stiege 2, Hochparterre
Information
Ziele, Inhalte und Methode der Lehrveranstaltung
Art der Leistungskontrolle und erlaubte Hilfsmittel
Students have to respect the deadlines agreed for each task. If the student does not perform in one of the tasks according to the deadline, the course is considered failed. Attendance at the sessions is expected (80%), if a student misses more than two sessions, the course is considered failedImportant Grading Information:
The provision of all partial tasks is a prerequisite for a positive assessment, if not explicitly noted otherwise.The use of AI tools (e.g. ChatGPT) for the production of texts is only permitted if this is expressly requested by the lecturer (e.g. for individual work tasks).In order to ensure good scientific practice, the lecturer can provide for a "grading-related discussion" (plausibility check) of the written work submitted, which must be completed successfully.All students who received a place in the course are assessed if they have not deregistered from the course in due time or if they have not credibly shown an important reason for their failure to deregister after the cause for this reason does no longer apply
Students who credibly show an important reason (e.g. a longer illness) for the withdrawal from a course with continuous assessment are not assessed.
Whether this exception applies is decided by the lecturer. The request for deregistration must be submitted immediately.If any requirement of the course has been fulfilled by fraudulent means, be it for example by cheating at an exam, plagiarizing parts of a written assignment or by faking signatures on an attendance sheet, the student's participation in the course will be discontinued, the entire course will be graded as "not assessed" and recorded accordingly.
You can find these and other provisions in the study law: https://satzung.univie.ac.at/studienrecht/.In case you have received three negative assessments of a continuously assessed course and want to register for a fourth attempt, please make sure to contact the StudiesServiceUnit Sociology. (for more information see "third attempt for continuously assessed courses" https://soziologie.univie.ac.at/info/pruefungen/#c56313)The plagiarism-detection service (Turnitin in Moodle) can be used in course of the grading.
The provision of all partial tasks is a prerequisite for a positive assessment, if not explicitly noted otherwise.The use of AI tools (e.g. ChatGPT) for the production of texts is only permitted if this is expressly requested by the lecturer (e.g. for individual work tasks).In order to ensure good scientific practice, the lecturer can provide for a "grading-related discussion" (plausibility check) of the written work submitted, which must be completed successfully.All students who received a place in the course are assessed if they have not deregistered from the course in due time or if they have not credibly shown an important reason for their failure to deregister after the cause for this reason does no longer apply
Students who credibly show an important reason (e.g. a longer illness) for the withdrawal from a course with continuous assessment are not assessed.
Whether this exception applies is decided by the lecturer. The request for deregistration must be submitted immediately.If any requirement of the course has been fulfilled by fraudulent means, be it for example by cheating at an exam, plagiarizing parts of a written assignment or by faking signatures on an attendance sheet, the student's participation in the course will be discontinued, the entire course will be graded as "not assessed" and recorded accordingly.
You can find these and other provisions in the study law: https://satzung.univie.ac.at/studienrecht/.In case you have received three negative assessments of a continuously assessed course and want to register for a fourth attempt, please make sure to contact the StudiesServiceUnit Sociology. (for more information see "third attempt for continuously assessed courses" https://soziologie.univie.ac.at/info/pruefungen/#c56313)The plagiarism-detection service (Turnitin in Moodle) can be used in course of the grading.
Mindestanforderungen und Beurteilungsmaßstab
The final grade is based on all the following tasks:
- Active participation (20%)
- Research presentation (30%)
- Project Proposal presentation (20%)
- Writing assignment - Project Proposal of approx. 2.000 words (30%)Assessment criteria: Every performance component will receive a grade in points, summing up to a total grade.Grades
1. Excellent > 87
2. Very Good 76 - 87
3. Good 63 - 75
4. Sufficient 50 - 62
5. Not passed < 50
- Active participation (20%)
- Research presentation (30%)
- Project Proposal presentation (20%)
- Writing assignment - Project Proposal of approx. 2.000 words (30%)Assessment criteria: Every performance component will receive a grade in points, summing up to a total grade.Grades
1. Excellent > 87
2. Very Good 76 - 87
3. Good 63 - 75
4. Sufficient 50 - 62
5. Not passed < 50
Prüfungsstoff
Sources for the written assignments and for the presentations will be predominantly (but not exclusively) published scientific literature and basic empirical data. Students will be asked to apply their research intererests to the formulation of a basic research proposal.
Literatur
Recommended: Lawrence Neuman (2014/2020), Social Research Methods: Qualitative and Quantitative Approaches, 7th or 8th edition.
Other material will be indicated during the course.
Other material will be indicated during the course.
Zuordnung im Vorlesungsverzeichnis
in 505: BA M1 Einführung in die empirische Sozialforschung
Letzte Änderung: Do 21.09.2023 10:27
The main objectives are: to be able to properly define the social phenomenon under investigation, to know and understand the difference between various methodological approaches in the social sciences, to identify the main topic and aim of research, to formulate research questions that will guide the empirical research, to be able to understand and read results from empirical social science research, to be able to formulate a basic research proposal and build a coherent research design.
The main topics concern the construction of the research design, starting from the definition of a topic of interest, the identification of a research gap, the formulation of a research questions, the connection between research question and methods adopted. Attention will be devoted to differences between quantitative and qualitative approaches.The language of the course is English.