460008 SE Forschungsseminar (2020S)
Multivariate and Complex Data Analysis for Psychological Science
Prüfungsimmanente Lehrveranstaltung
Labels
An/Abmeldung
Hinweis: Ihr Anmeldezeitpunkt innerhalb der Frist hat keine Auswirkungen auf die Platzvergabe (kein "first come, first served").
- Anmeldung von Mo 16.03.2020 13:30 bis Di 17.03.2020 13:40
- Abmeldung bis Di 17.03.2020 13:40
Details
Sprache: Deutsch
Lehrende
Termine (iCal) - nächster Termin ist mit N markiert
- Donnerstag 19.03. 09:45 - 11:15 Hörsaal E Psychologie, Liebiggasse 5 1. Stock
- Donnerstag 26.03. 09:45 - 11:15 Hörsaal E Psychologie, Liebiggasse 5 1. Stock
- Donnerstag 02.04. 09:45 - 11:15 Hörsaal E Psychologie, Liebiggasse 5 1. Stock
- Donnerstag 23.04. 09:45 - 11:15 Hörsaal E Psychologie, Liebiggasse 5 1. Stock
- Donnerstag 30.04. 09:45 - 11:15 Hörsaal E Psychologie, Liebiggasse 5 1. Stock
- Donnerstag 07.05. 09:45 - 11:15 Hörsaal E Psychologie, Liebiggasse 5 1. Stock
- Donnerstag 14.05. 09:45 - 11:15 Hörsaal E Psychologie, Liebiggasse 5 1. Stock
- Donnerstag 28.05. 09:45 - 11:15 Hörsaal E Psychologie, Liebiggasse 5 1. Stock
- Donnerstag 04.06. 09:45 - 11:15 Hörsaal E Psychologie, Liebiggasse 5 1. Stock
- Donnerstag 18.06. 09:45 - 11:15 Hörsaal E Psychologie, Liebiggasse 5 1. Stock
- Donnerstag 25.06. 09:45 - 11:15 Hörsaal E Psychologie, Liebiggasse 5 1. Stock
Information
Ziele, Inhalte und Methode der Lehrveranstaltung
Art der Leistungskontrolle und erlaubte Hilfsmittel
Presentations, attendance, and active participation
Mindestanforderungen und Beurteilungsmaßstab
All participating students must present their research questions and analytic strategy to provide input for the seminar (oral presentation + short exposé [max. 2 pages]). The presentation and active participation are equally weighted for grading.
Prüfungsstoff
Presentations, discussions, peer feedback
Literatur
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.
Further literature will be announced in the seminar.
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.
Further literature will be announced in the seminar.
Zuordnung im Vorlesungsverzeichnis
Letzte Änderung: Mo 07.09.2020 15:22
- 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, demonstrated, and discussed. Some prior experience with R is recommended.Course enrollment: via personal email (until March 16, 2020) to ulrich.tran@univie.ac.at.The seminar will be held either in German or English, depending on the language requirements of participating students.