´╗┐´╗┐ GESIS Training Courses

Administrative Coordination

Debora Maehler

Analyzing PIAAC Data with Structural Equation Modeling in Mplus

Mannheim, B6 4-5
SPSS und  Mplus
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Lecturer(s): Prof. Dr. Ronny Scherer

About the lecturer - Prof. Dr. Ronny Scherer

Course description

Structural equation modeling (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. This workshop provides an introduction to the principles and procedures of basic and more advanced SEM in the context of the international large-scale assessment PIAAC. Specifically, the following topics are covered: (a) Principles of structural equation modeling (model specification, identification, estimation, and evaluation), (b) Measurement models and confirmatory factor analysis, (c) Measurement invariance testing with few and many groups (including multi-group CFA, multilevel CFA, and the alignment method), and (d) Structural regression and indirect effects models (including multi-group and multilevel SEM).Participants can also present their own research or research ideas using PIAAC data and receive feedback on how to improve the analysis.
Data: PIAAC Public Use Files
Software: SPSS and Mplus

Target group

The Pre-Conference Workshops are aimed at researchers from different disciplines who are interested in working with PIAAC data or who are already working with it.  The workshops will include lectures and practical sessions and are planned as follows (a) theoretical and methodological input from the instructors (see description of content below); (b) opportunity to present own research or research ideas using PIAAC data (optional); (c) discussion of issues outlined in the workshop and specific feedback from the instructors.


It is expected that the participants have good empirical knowledge and experience in the respective statistical software.


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