A generative psychometrics framework for automatic item generation and validation via network-integrated evaluation. AI-GENIE uses large language models to generate psychometric items and network methods to evaluate their dimensional structure, enabling scalable and theory-driven scale development.
The leading framework for network-based dimensionality assessment in psychology. EGAnet implements Exploratory Graph Analysis and a suite of related methods — network loadings, bootstrap stability, entropy fit indices, dynamic EGA, and more — for estimating latent structure in multivariate psychological data.
A comprehensive toolkit providing methods and measures for network analysis across brain, cognitive, and psychometric research. NetworkToolbox implements filtering approaches, centrality indices, community detection, and network comparison tools, with a focus on applied psychological and neuroscientific research.
An open-source framework for emotion analysis using generative AI. transforEmotion leverages transformer-based large language models for zero-shot emotion coding in text and video data, and integrates Dynamic Exploratory Graph Analysis to uncover the latent structure of emotion dynamics across time.