This workshop will introduce the principles and procedures of basic and more advanced Structural Equation Modeling (SEM) in the context of the international large-scale assessment PIAAC. SEM represents a statistical approach to disentangle the relationships among latent and/or manifest variables, across groups, over time, and at different analytical levels. The potential of SEM has been recognized in many areas, including educational sciences, sociology, psychology, and business.
In the first part of the workshop, the following topics will be covered:
- Principles of structural equation modeling (model specification, identification, estimation, and evaluation).
- Measurement models and confirmatory factor analysis.
- Measurement invariance testing with few and many groups (including multi-group CFA, multilevel CFA, and the alignment method).
- Structural regression and indirect effects models (including multi-group and multilevel SEM).
In the second part of the workshop, participants can present their own research or research ideas using PIAAC data and receive feedback on how to improve the analysis.
To participate in this workshop is important to be interested to work or to be already working with PIAAC data (including supplement and longitudinal data on a national level). A good empirical knowledge and experience in Stata is also expected. To apply, a short exposé (max. 1000 words) of research questions based on the PIAAC/PIAAC-L data is required.
Date: March 22-23, 2022
Location: GESIS, B6, 4-5, 68159 Mannheim
Lecturers: Ronny Scherer (Centre for Educational Measurement at the University of Oslo)
For further information, please click in the link provided below.