Join us to explore the forefront of psychological research!

Network Psychometrics has rapidly gained prominence across various subfields of Psychology and beyond, introducing groundbreaking perspectives on personality traits, psychopathological dynamics, attitudes, and more. By framing psychological phenomena as networks, researchers can investigate how these phenomena emerge from the intricate interplay of their core components.

This course provides a comprehensive opportunity to explore the theory and practice of this advanced methodology, including, for example, network analysis on cross-sectional and longitudinal data, multi-group network analysis, frequentist and Bayesian estimates, and advanced applications that integrate networks and latent variables.

A poster session will be organized on the first day to encourage networking among participants and instructors. Daily practical sessions will empower students to directly apply the acquired knowledge using R. This program aims to equip participants with a thorough understanding of Psychometric Network Analysis, enabling them to apply these methods to their research and contribute to the evolving landscape of psychological data analysis.

The summer school welcomes researchers with different expertise, including but not limited to PhD students, Post-doctoral students, and Early-Career Researchers. Students are encouraged to bring their own data to use in practice sessions.

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