Universität Wien

540002 SE Research Seminar (2020W)

Latent Variable Modeling in Mplus

4.00 ECTS (2.00 SWS), SPL 54 - Doktoratsstudium Psychologie und Biologie mit Schwerpunkt CoBeNe
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: English

Lecturers

Classes (iCal) - next class is marked with N

  • Wednesday 14.10. 15:00 - 18:15 Digital
  • Wednesday 28.10. 15:00 - 18:15 Digital
  • Wednesday 11.11. 15:00 - 18:15 Digital
  • Wednesday 25.11. 15:00 - 18:15 Digital
  • Wednesday 09.12. 15:00 - 18:15 Digital
  • Wednesday 13.01. 15:00 - 18:15 Digital
  • Wednesday 27.01. 15:00 - 18:15 Digital

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. Note that the course will only deal with continuous latent variables (e.g., factors corresponding to unobserved constructs), while 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

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.

Seminar will be held as an online course (digital) and will be taught in English.

Course enrollment before 14.10.2020 via email to takuya.yanagida@univie.ac.at

Assessment and permitted materials

- Active participation
- Homework assignments

Minimum requirements and assessment criteria

For a positive grade, at least four out of seven homeworks needs to be completed and submitted.

Examination topics

Reading list

Muthén, B. O., Muthén, L. & Asparouhov, T. (2016). Regression And Mediation Analysis Using Mplus. Muthén & Muthén.

Association in the course directory

Last modified: Fr 12.05.2023 00:27