GESIS Training Courses

Wiss. Koordination

Dr. Nora Skopek
Tel: +49 621 1246277

Administrative Koordination

Claudia O'Donovan-Bellante
Tel: +49 621 1246221

Structural Equation Modeling with PIAAC Data

Ronny Scherer

Datum: 03.04 - 04.04.2017 ics-Datei

Veranstaltungsort: Mannheim B2,8


Structural equation modeling (SEM) has become one of the most commonly applied statistical approaches to disentangle the relationships among latent 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 international large-scale assessments such as PIAAC. Specifically, the following topics will be covered: (a) Principles of latent variable modeling, (b) Model identification and specification, (c) Measurement models (including confirmatory factor analysis), (d) Parceling, (e) Structural regression models (including exploratory SEM), (f) Multi-group SEM (including measurement invariance testing), and (g) Indirect effects and moderation models. If time permits, a brief outlook to multilevel SEM and longitudinal models will be provided.
The workshop comprises lectures and practical sessions, in which participants will put into practice basic and more advanced SEM with PIAAC data. Participants will primarily use the statistical software Mplus; yet, code and syntax for AMOS and R (lavaan) will be provided.


This course is designed for master and PhD students, non- and post-graduate researchers, and experienced researchers from a variety of fields, including educational sciences, sociology, psychology, and business, who are interested in an  introduction to the concepts and procedures underlying basic and more advanced structural equation models. Participants with an interest in applying structural equation models to international large-scale assessments will benefit from this course.


At the end of the course, participants will be able to evaluate and interpret basic and more advanced structural equation models including measurement models, structural regression models, and multi-group models with PIAAC data. Moreover, they will have acquired the  necessary skills to formulate basic and more advanced structural equation  models, implement them using selected software packages (e.g., Mplus, R, or AMOS), evaluate and  re-specify them if necessary.


Knowledge and understanding of multiple regression analysis, exploratory factor analysis, and statistical hypothesis testing is  required. Prior experience with statistical packages such as Mplus, AMOS, and the R package lavaan is  desired, yet not absolutely necessary.




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