Are you interested in hierarchical dimensionality analysis? Here's our new "Taxonomic Graph Analysis" used to model the IPIP-NEO Personality Hierarchy. The project is led by Andrew Samo and Alexander Christensen, with the collaboration of Luis Garrido, Paco Abad, Sam McAbee, and me! In our preprint (link in the comments) we introduce a new approach to understanding personality structure: Taxonomic Graph Analysis (TGA), is a comprehensive network psychometrics approach that identifies hierarchical personality structures from the bottom up rather than imposing existing theoretical models. We applied TGA to the open-source 300-item IPIP-NEO dataset with over 149,000 participants and reveal a three-level structure of personality: 28 first-level dimensions (facets) 6 second-level dimensions (traits) 3 third-level dimensions (meta-traits) What makes this approach very interesting is how it addresses longstanding methodological challenges in personality assessment: Local independence violations Wording effects Dimensionality assessment Structural robustness While some dimensions aligned with traditional IPIP-NEO structure, we found significant deviations. The emergence of novel dimensions like "Sociability," "Integrity," and "Impulsivity" at the second level and a "Disinhibition" meta-trait at the third level represents a major departure from the traditional five-factor model. Our research effectively integrates empirical findings scattered across personality literature into a coherent hierarchical structure. This data-driven framework demonstrates TGA's value for investigating complex psychological constructs and offers a rigorous new perspective on personality taxonomy. This work exemplifies how innovative psychometric methods can reshape our understanding of fundamental psychological constructs. Its implications extend beyond personality assessment to potentially revolutionize how we conceptualize and measure human traits across psychology.