JMIR Publications

ABSTRACT

Background:

Psychological assessment of adult neurodivergence relies on multi-informant data that frequently disagree; discrepancies may reflect masking, context-dependent expression, or limited self-insight rather than measurement error.

Objective:

This paper specifies the SPECTRA Evidence Stack, a rule-based, neuroaffirmative architecture that preserves cross-informant discrepancies as interpretable evidence rather than collapsing them into opaque scores, producing quality flags, convergence profiles, evidence-strength bands, and reason codes.

Methods:

This is a design specification, not a validation study: no clinical participants were involved. Framework behavior was evaluated on 250 author-generated synthetic records through a four-condition, prespecified rule-configuration comparison and a threshold-perturbation sensitivity analysis. Stochastic generation and score jitter were controlled by a recorded random seed.

Results:

With the disclosed code, version, and seed, the reference run was reproducible: mean evidence strength was 0.60 for the full-stack configuration, 0.53 for the no-quality comparator, 0.54 for the no-convergence comparator, and 0.50 for the baseline comparator. These descriptive differences verify the behavior of the four specified configurations; they are not causal estimates of the isolated effects of individual layers. The reference configuration is fully disclosed and independently runnable.

Conclusions:

Diagnostic accuracy, criterion validity, reliability, and clinical utility are not evaluated here and are reserved for a subsequent clinical validation study.