BP separates literature grounding, internal quality audits, beta reliability data, external validity studies, and peer review instead of mixing them into one claim.
BP can currently describe its literature-grounded model design, 288-item assessment structure, 36-axis and 4-layer framework, and internal quality audits. Synthetic example 01 is a software reproducibility record. Read it separately from literature-based design, reliability and validity studies with real users, and peer-reviewed evidence.
Current accurate wording covers literature-grounded model design, a 288-item assessment structure, a 36-axis and 4-layer framework, and internal quality audits. Test-retest reliability and external validity require beta study data.
After beta data collection, BP should report test-retest reliability, convergence with external scales such as IPIP-NEO/BFAS/HEXACO, discriminant validity, perceived accuracy, and report satisfaction separately.
The accurate current wording is “research-grounded.” Stronger claims require public reliability and external validity data.
No simple ranking follows. Traditional tests have stronger long-term validation; BP aims for more granular measurement and clearer AI-written explanations. These are different evidence and product dimensions.
Test-retest reliability, convergent and discriminant validity against external scales, perceived accuracy, and report satisfaction should be reported from beta data.
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