Modeling latent dimensions of NBA player performance using CFA and SEM
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Updated
Aug 6, 2026
Modeling latent dimensions of NBA player performance using CFA and SEM
Time-resolved, multi-source observational field generator. Ingests heterogeneous real-world data streams, validates against source-faithful schemas, and preserves atomic, geo-resolved observations with full temporal fidelity for downstream collation, analysis, and latent variable construction.
Published June 2025 — Personalised Profiling in Mental Health: A CAT-based Approach for Maternal Well-being and Mood Disorders (Springer)
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