Universität Wien

540004 SE Forschungsseminar (2021W)

Latent Variable Modeling

4.00 ECTS (2.00 SWS), SPL 54 - Doktoratsstudium Psychologie und Biologie mit Schwerpunkt CoBeNe
Prüfungsimmanente Lehrveranstaltung
Moodle

An/Abmeldung

Hinweis: Ihr Anmeldezeitpunkt innerhalb der Frist hat keine Auswirkungen auf die Platzvergabe (kein "first come, first served").

Details

Sprache: Deutsch, Englisch

Lehrende

Termine

Wednesday, 20.10. 15:00 - 18:15 Digital
Wednesday, 10.11. 15:00 - 18:15 Digital
Wednesday, 01.12. 15:00 - 18:15 Digital
Wednesday, 15.12. 15:00 - 18:15 Digital
Wednesday, 12.01. 15:00 - 18:15 Digital
Wednesday, 26.01. 15:00 - 18:15 Digital

Information

Ziele, Inhalte und Methode der Lehrveranstaltung

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 20.10.2021 via email to takuya.yanagida@univie.ac.at

Art der Leistungskontrolle und erlaubte Hilfsmittel

- Attendance
- Active participation
- Homework assignments

Mindestanforderungen und Beurteilungsmaßstab

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

Prüfungsstoff

Literatur

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

Zuordnung im Vorlesungsverzeichnis

Letzte Änderung: Do 21.10.2021 09:09