460008 SE Research Seminar (2020S)
Multivariate and Complex Data Analysis for Psychological Science
Continuous assessment of course work
Labels
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 Mo 16.03.2020 13:30 to Tu 17.03.2020 13:40
- Deregistration possible until Tu 17.03.2020 13:40
Details
Language: German
Lecturers
Classes (iCal) - next class is marked with N
- Thursday 19.03. 09:45 - 11:15 Hörsaal E Psychologie, Liebiggasse 5 1. Stock
- Thursday 26.03. 09:45 - 11:15 Hörsaal E Psychologie, Liebiggasse 5 1. Stock
- Thursday 02.04. 09:45 - 11:15 Hörsaal E Psychologie, Liebiggasse 5 1. Stock
- Thursday 23.04. 09:45 - 11:15 Hörsaal E Psychologie, Liebiggasse 5 1. Stock
- Thursday 30.04. 09:45 - 11:15 Hörsaal E Psychologie, Liebiggasse 5 1. Stock
- Thursday 07.05. 09:45 - 11:15 Hörsaal E Psychologie, Liebiggasse 5 1. Stock
- Thursday 14.05. 09:45 - 11:15 Hörsaal E Psychologie, Liebiggasse 5 1. Stock
- Thursday 28.05. 09:45 - 11:15 Hörsaal E Psychologie, Liebiggasse 5 1. Stock
- Thursday 04.06. 09:45 - 11:15 Hörsaal E Psychologie, Liebiggasse 5 1. Stock
- Thursday 18.06. 09:45 - 11:15 Hörsaal E Psychologie, Liebiggasse 5 1. Stock
- Thursday 25.06. 09:45 - 11:15 Hörsaal E Psychologie, Liebiggasse 5 1. Stock
Information
Aims, contents and method of the course
Assessment and permitted materials
Presentations, attendance, and active participation
Minimum requirements and assessment criteria
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.
Examination topics
Presentations, discussions, peer feedback
Reading list
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.
Association in the course directory
Last modified: 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 9, 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.