Traits and tangles: An analysis of the Big Five paradigm by tangle-based clustering
Hanno von Bergen, Reinhard Diestel

TL;DR
This paper introduces a mathematically rigorous tangle-based clustering method to analyze the Big Five personality traits, revealing hierarchical structures and additional traits beyond the standard five in existing data.
Contribution
It applies tangle theory to personality data, providing a new, quantitative, and interpretable framework that uncovers hierarchical and refined traits within the Big Five paradigm.
Findings
Big Five traits appear at different levels of analysis.
Some traits split into more refined traits at higher resolution.
Additional traits beyond the traditional five were identified.
Abstract
Using the recently developed mathematical theory of tangles, we re-assess the mathematical foundations for applications of the five factor model in personality tests by a new, mathematically rigorous, quantitative method. Our findings broadly confirm the validity of current tests, but also show that more detailed information can be extracted from existing data. We found that the big five traits appear at different levels of scrutiny. Some already emerge at a coarse resolution of our tools at which others cannot yet be discerned, while at a resolution where these _can_ be discerned, and distinguished, some of the former traits are no longer visible but have split into more refined traits or disintegrated altogether. We also identified traits other than the five targeted in those tests. These include more general traits combining two or more of the big five, as well as more specific…
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Taxonomy
TopicsCustomer churn and segmentation
