migs@absl.io
Annecy Behavioral Science Lab
94 Route de Filly, 74410, Saint-Jorioz
Hard Science from Modeling Soft Data:
From Measurement to Causal Inference with SEM
In the complex and messy real world, where human behavior and societal structures intertwine, the challenge lies in transforming messy data into robust scientific insights.
This workshop is designed to equip social scientists with the tools and understanding necessary to navigate this challenge with confidence.
Hard Science from Modeling Soft Data: From Measurement to Causal Inference with Structural Equation Modeling (SEM)
WHY TAKE THIS WORKSHOP?
Your career or research demands rigorous, defensible insights from imperfect human data.
Without this training, you risk publishing unreliable scales or making causal claims that your analysis simply can’t support. With this workshop, you can confidently answer the toughest question in social science: “How do you know A really causes B?”
DURATION
3 days (June 10 – 12, 2026)
4 hours (2:00 PM – 6:00 PM CET)
TICKET and MORE INFO
MODULES
Day 1:
- Lay the groundwork
- Explore the fundamentals of modeling complex social science data using SEM
- Gain a deeper understanding of measurement theories
- Develop skills to specify and express structural models
Day 2:
- Key steps of structural modeling, issues involved in deriving causal insights from observed data
- Hands-on experience with SEM software
Day 3:
- Focus on practical application
- Learn and practice how to specify, analyze, and interpret structural models
- Explore ways to improve our models
- Tackle practical challenges of modeling soft data in real-world scenarios