540008 SE Forschungsseminar (2021S)
Multivariate and Complex Data Analysis for Psychological Science
Prüfungsimmanente Lehrveranstaltung
Labels
DIGITAL
An/Abmeldung
Hinweis: Ihr Anmeldezeitpunkt innerhalb der Frist hat keine Auswirkungen auf die Platzvergabe (kein "first come, first served").
- Anmeldung von Di 25.05.2021 12:58 bis Do 27.05.2021 12:55
- Abmeldung bis Do 27.05.2021 12:55
Details
Sprache: Deutsch, Englisch
Lehrende
Termine (iCal) - nächster Termin ist mit N markiert
The seminar will be conducted digitally. If the current situation of the pandemic changes, a switch to hybrid teaching can be possible.
- Mittwoch 10.03. 11:30 - 13:00 Digital
- Mittwoch 17.03. 11:30 - 13:00 Digital
- Mittwoch 24.03. 11:30 - 13:00 Digital
- Mittwoch 14.04. 11:30 - 13:00 Digital
- Mittwoch 21.04. 11:30 - 13:00 Digital
- Mittwoch 28.04. 11:30 - 13:00 Digital
- Mittwoch 05.05. 11:30 - 13:00 Digital
- Mittwoch 12.05. 11:30 - 13:00 Digital
- Mittwoch 19.05. 11:30 - 13:00 Digital
- Mittwoch 26.05. 11:30 - 13:00 Digital
- Mittwoch 02.06. 11:30 - 13:00 Digital
- Mittwoch 09.06. 11:30 - 13:00 Digital
- Mittwoch 16.06. 11:30 - 13:00 Digital
- Mittwoch 23.06. 11:30 - 13:00 Digital
- Mittwoch 30.06. 11:30 - 13:00 Digital
Information
Ziele, Inhalte und Methode der Lehrveranstaltung
Art der Leistungskontrolle und erlaubte Hilfsmittel
Presentations and active participation, peer feedback.
Mindestanforderungen und Beurteilungsmaßstab
All students present their research questions and analytic strategy to provide input for the seminar (oral presentation + short exposé [max. 2 pages]). All students provide peer feedback to the other students' presentations.The presentation and active participation are equally weighted for grading.
Prüfungsstoff
Presentations, discussions, peer feedback
Literatur
Guided by the students' research interests and needs, e.g.:
Kline, R. B. (2016). Principles and practice of structural equation modeling (4th ed.). New York, NY: Guilford.
Muthén, L. K., & Muthén, B. O. (1998-2017). Mplus user’s guide (8th ed.). Los Angeles, CA: Muthén & Muthén.
Rosseel, Y. (n.d.). The lavaan project. http://lavaan.ugent.be
Snijders, T. A. B., & Bosker, R. J. (2012). Multilevel analysis (2nd ed.). Thousand Oaks, CA: Sage.
Kline, R. B. (2016). Principles and practice of structural equation modeling (4th ed.). New York, NY: Guilford.
Muthén, L. K., & Muthén, B. O. (1998-2017). Mplus user’s guide (8th ed.). Los Angeles, CA: Muthén & Muthén.
Rosseel, Y. (n.d.). The lavaan project. http://lavaan.ugent.be
Snijders, T. A. B., & Bosker, R. J. (2012). Multilevel analysis (2nd ed.). Thousand Oaks, CA: Sage.
Zuordnung im Vorlesungsverzeichnis
Letzte Änderung: Fr 12.05.2023 00:27
- Structural equation modeling (SEM; with continuous latent variables)
- Path analysis
- Mediation and moderation analysis
- Confirmatory factor analysis
- Multi-group modeling
- Multilevel modeling
- Growth curve modeling
- Latent class analysis (LCA; with categorical latent variables)
- Latent profile analysis (LPA; with categorical latent variables)Students present their research questions and analytical strategy. In class, we will deal with the nature, assumptions, and requirements of the various statistical analyses and models as needed; data formats (e.g., wide vs. long) and data management; and computational issues (e.g., regarding estimators). Data analysis with the free open-source software R (e.g., package lavaan), Mplus, and SPSS, where applicable, will be explained and discussed. Some prior experience with R is recommended.Course enrollment: via personal email to ulrich.tran@univie.ac.at.The seminar will be held either in German or English, depending on the language requirements of participating students.