Universität Wien

460006 SE Research Seminar (2018W)

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 16.10. 16:45 - 20:00 Hörsaal B Psychologie, NIG 6.Stock A0610
  • Tuesday 30.10. 16:45 - 20:00 Hörsaal B Psychologie, NIG 6.Stock A0610
  • Tuesday 13.11. 16:45 - 20:00 Hörsaal B Psychologie, NIG 6.Stock A0610
  • Tuesday 27.11. 16:45 - 20:00 Hörsaal B Psychologie, NIG 6.Stock A0610
  • Tuesday 11.12. 16:45 - 20:00 Hörsaal B Psychologie, NIG 6.Stock A0610
  • Tuesday 15.01. 16:45 - 20:00 Hörsaal B Psychologie, NIG 6.Stock A0610
  • Tuesday 29.01. 16:45 - 20:00 Hörsaal B Psychologie, NIG 6.Stock A0610

Information

Aims, contents and method of the course

This course offers a general introduction to latent variable modeling (i.e., statistical analysis with latent variables) in Mplus. However, the course will only deal with continuous latent variables (e.g., factors corresponding to unobserved constructs), whereas the Mplus modeling framework is also able to deal with categorical latent variables (e.g., latent classes corresponding to homogeneous groups of individuals).
The course will cover the following topics:

- Mplus syntax
- Importing data from SPSS to Mplus
- Basic concepts in statistics
- Regression and path analysis
- Mediation analysis with cross-sectional data
- Confirmatory factor analysis
- Structural equation modeling
- Estimation methods and missing data
- Multilevel Modeling with cross-sectional data
- Cross-lagged panel model
- Latent growth 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