Universität Wien
Warning! The directory is not yet complete and will be amended until the beginning of the term.

460006 SE Research Seminar (2019S)

Advanced Latent Variable Modeling in Mplus

4.00 ECTS (2.00 SWS), SPL 46 - Doktoratsstudium Psychologie und Sportwissenschaft
Continuous assessment of course work
Moodle

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).

Details

Language: German

Lecturers

Classes (iCal) - next class is marked with N

  • Tuesday 26.03. 16:45 - 20:00 Hörsaal A Psychologie, NIG 6.Stock A0606
  • Tuesday 09.04. 16:45 - 20:00 Hörsaal A Psychologie, NIG 6.Stock A0606
  • Tuesday 07.05. 16:45 - 20:00 Seminarraum Psychologie NIG 6.OG A0621A
  • Tuesday 21.05. 16:45 - 20:00 Hörsaal A Psychologie, NIG 6.Stock A0606
  • Tuesday 04.06. 16:45 - 20:00 Hörsaal A Psychologie, NIG 6.Stock A0606
  • Tuesday 18.06. 16:45 - 20:00 Hörsaal A Psychologie, NIG 6.Stock A0606

Information

Aims, contents and method of the course

This course offers an introduction to advanced topics in latent variable modeling (i.e., statistical analysis with latent variables) in Mplus. The course will not only deal with continuous latent variables (e.g., factors corresponding to unobserved constructs), but also with categorical latent variables (e.g., latent classes corresponding to homogeneous groups of individuals). Note that prior attendance of the previous course “Latent Variable Modeling in Mplus” is not needed, but prior experience with the Mplus program is presumed.

The course will cover the following topics:
- Missing data
- Multilevel Modeling with cross-sectional data
- Latent class and latent profile analysis
- Cross-lagged panel model
- Latent growth modeling
- Latent change score modeling

This course is designed to work with Mplus (see: www.statmodel.com). Note that there is no requirement to obtain a license since the free demo version of the program will be sufficient to work on all exercises.

This course will be taught in English.

Assessment and permitted materials

- Attendance
- Active participation
- Homework assignments

Minimum requirements and assessment criteria

Examination topics

Reading list

Muthén, Muthén & Asparouhov (2016). Regression And Mediation Analysis Using Mplus. Los Angeles: Muthén & Muthén.

Association in the course directory

Last modified: Mo 07.09.2020 15:47