540008 SE Research Seminar (2021S)
Multivariate and Complex Data Analysis for Psychological Science
Continuous assessment of course work
Labels
REMOTE
Registration/Deregistration
Note: The time of your registration within the registration period has no effect on the allocation of places (no first come, first served).
- Registration is open from Tu 25.05.2021 12:58 to Th 27.05.2021 12:55
- Deregistration possible until Th 27.05.2021 12:55
Details
Language: German, English
Lecturers
Classes (iCal) - next class is marked with N
The seminar will be conducted digitally. If the current situation of the pandemic changes, a switch to hybrid teaching can be possible.
- Wednesday 10.03. 11:30 - 13:00 Digital
- Wednesday 17.03. 11:30 - 13:00 Digital
- Wednesday 24.03. 11:30 - 13:00 Digital
- Wednesday 14.04. 11:30 - 13:00 Digital
- Wednesday 21.04. 11:30 - 13:00 Digital
- Wednesday 28.04. 11:30 - 13:00 Digital
- Wednesday 05.05. 11:30 - 13:00 Digital
- Wednesday 12.05. 11:30 - 13:00 Digital
- Wednesday 19.05. 11:30 - 13:00 Digital
- Wednesday 26.05. 11:30 - 13:00 Digital
- Wednesday 02.06. 11:30 - 13:00 Digital
- Wednesday 09.06. 11:30 - 13:00 Digital
- Wednesday 16.06. 11:30 - 13:00 Digital
- Wednesday 23.06. 11:30 - 13:00 Digital
- Wednesday 30.06. 11:30 - 13:00 Digital
Information
Aims, contents and method of the course
Assessment and permitted materials
Presentations and active participation, peer feedback.
Minimum requirements and assessment criteria
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.
Examination topics
Presentations, discussions, peer feedback
Reading list
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.
Association in the course directory
Last modified: 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.