Dataset and code are available from OSF. Let’s build similar data-maps as have been done in other fields!
osf.io/8z3b6/?view_...

This is the first comprehensive cross-domain personality profile mapping akin to neurosynth.org or epigraphdb.org. We encourage personality scientists to try out our pipeline on their own phenotypes of interest that have published NEO PI facet-level profiles!

We also introduced novel statistical methods to estimate correlation between profiles obtained from different samples, and replicated Vainik et al (2020) correlations between obesity, uncontrolled eating and addictive phenotypes, controlling for varying sample sizes and facet intercorrelations.

The most prominent phenotypes studied over 30 years of personality psychology are maladaptive profiles, with little representation for a range of healthy or normative profiles. Just like media is prone to negative news, personality psychologists are attracted to problematic phenotypes!

Each cluster was then compared to an expert-rated ‘healthy’ personality profile obtained from Bleidorn et al (2020), suggesting that three biggest clusters of phenotypes strongly deviate from this desired personality type.

Using hierarchical cluster analysis, we found the most prominent NEO PI profiles to cluster into 5 dominant groups, naming them based on their unique Big Five dynamics and phenotypes they consisted of.

We systematically collected 311 NEO PI facet-level published profiles across domains, standardised them to Pearson’s r, meta-aggregated duplicates and ran a cluster analysis on resulting 162 distinct phenotypes. The combined sample size of this was about 100 000!