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).

Registration is open from Mo 22.10.2018 10:55 to We 24.10.2018 10:49
Deregistration possible until We 24.10.2018 10:49

Details

Language: German

Lecturers

Takuya Yanagida

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

Psychology

Last modified: Mo 07.09.2020 15:47