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Instructors: Prof. Dr. Martin Elff
Event type:
Seminar
Org-unit: Graduate School | ZUGS
Displayed in timetable as:
Credits:
4,0
Location:
Campus der Zeppelin Universität
Language of instruction:
Englisch
Min. | Max. participants:
5 | 15
Course content:
The course introduces to the specification, estimation and interpretation of structural equation models.
The following topics are planned to be included:
- Regression analysis and path analysis
- Simple models with latent variables: Confirmatory factor analysis
- Structural equations with latent variables
- Statistical inference with structural equation models
- Structural equation models for categorical variables
The concepts discussed in the course are put to practice using approriate statistical software (R/lavaan).
Educational objective:
Aim of the couse is to enable participants to successfully leverage structural equation modelling for their own research.
After successful completion of the course, participants should be able to
- translate causal relations into simultanous equations and structural equations
- use statistical software for the estimation of structural equation model parameters
- interpret and evaluate structural equation models in terms of their format and statistical aspects as well as in terms of their implications for research topics.
Further information about the exams:
Completion of a short exercise sheet
Mandatory literature:
Bartholomew, David J., Fiona Steele, Irini Moustaki und Jane I. Galbraith. 2008. Analysis of Multivariate Social Science Data. Second Edition, Boca Raton: CRC/Chapman and Hall.
Loehlin, John C. 2004. Latent Variable Models: An Introduction to Factor, Path, and Structural Equation Analysis. Mahwah, NJ: Lawrence Erlbaum Associates. Frankfurt: Campus.
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