← Cogniself / Scientific foundation

Cogniself Research Note · 01

The science behind Cogniself.

Cogniself implements a measurement-first architecture for psychometric interpretation. Validated instruments supply construct-level measurements; fixed scoring functions transform responses into domain, facet, and screening variables; and an evidence-grounded synthesis layer translates those variables into a structured report.16

Explore the evidence Methodology review · August 2026
FIG. 00Foundation at a glance

Five published instruments form the measurement foundation described in this note.

953,398combined observations in the five studies shown below
  • IPIP-NEO-12001
  • CATI05
  • RAADS-1403
  • CAT-Q04
  • ASRS v1.102
Combined study observations · source-level evidence

Methodology overview

Cogniself implements a measurement-first interpretation pipeline. Structured self-report responses are transformed with fixed scoring keys into domain-, facet-, and screener-level variables. The resulting score set is supplied to a specialized model alongside retrieved peer-reviewed context. Report synthesis then passes through automated checks for schema conformance, score consistency, citation provenance, completeness, and safety. This architecture preserves the evidentiary status of the source instruments while adding cross-construct synthesis and context-aware explanation.

FIG. 01

Selected foundational validation samples

Scale of the primary instrument-development and validation samples referenced in Cogniself’s methodology.

102103104105106
IPIP-NEO-12001
948,692
CATI05
2,487
RAADS-1403
1,233
CAT-Q04
832
ASRS v1.102
154

Figure 1. Logarithmic scale. The selected studies contribute 953,398 observations or participants in aggregate. This is a study-level evidence map: sample designs, populations, and units of observation vary across publications.

Methods

A six-stage, measurement-first pipeline

Each report follows the same ordered sequence: instrument administration, score derivation, structured profile assembly, literature retrieval, report synthesis, and output verification. Resolving scores and published thresholds before synthesis preserves the source instruments’ scoring logic while enabling cross-construct interpretation.

  1. 01

    Instrument administration

    Published item wording and response scales are presented with battery-integrity checks.

  2. 02

    Score derivation

    Fixed keys calculate domain, facet, dimensional, and screening variables.

  3. 03

    Structured profile

    Calculated variables are assembled with their construct and instrument provenance.

  4. 04

    Literature retrieval

    Construct-specific claims are matched to peer-reviewed records and DOI metadata.

  5. 05

    Report synthesis

    A specialized model integrates the scored profile, verified context, and retrieved evidence.

  6. 06

    Output verification

    Schema, citation provenance, score consistency, completeness, and safety checks determine release.

FIG. 02

What the validation studies report

Selected metrics retain their definitions from the source publications; interpretation is study-, population-, and construct-specific.

WHO ASRS v1.1n = 154 · Kessler et al.2
sensitivity
68.7%
specificity
99.5%
classification accuracy
97.9%
RAADS-14n = 1,233 · Eriksson et al.3
sensitivity
97%

RAADS-14 specificity by comparator

ADHD
46%
Psychiatric
64%
Non-psychiatric
95%
CATIn = 2,487 · English et al.5
internal consistency · α
95%
convergent validity · r ≥
79%
42items · six subscales

Figure 2. Published results from foundational studies. Sensitivity and specificity are conditional on study design, population, comparator group, and threshold; each value characterizes performance within its reported validation setting.

Validity model

Evidence is evaluated at three levels

Cogniself assigns evidence to the layer where it is generated. This preserves the distinction between instrument-level psychometrics, implementation-level reproducibility, and interpretation-level quality assurance.

L1

Measurement

Instrument-level evidence

Source instruments contribute peer-reviewed evidence for reliability, construct validity, and screening performance in the populations studied.

L2

Computation

Implementation-level evidence

Versioned scoring keys and published thresholds are executed deterministically and verified through software quality controls.

L3

Interpretation

Interpretation-level evidence

Structured synthesis integrates the scored profile with retrieved literature and is evaluated for consistency, provenance, completeness, and safety.

Cogniself’s evidentiary basis is cumulative: established constructs and instruments provide the measurement substrate; deterministic scoring provides computational reproducibility; and literature-linked synthesis provides interpretable context.Cogniself methodology statement · 2026

Evidence register

Availability, provenance, and use

Every instrument has a different publication and data-access history. The register distinguishes public-domain items, open publications, supplementary materials, and data available only by request.

InstrumentConstructItemsFoundational sampleEvidence availabilityCogniself use
IPIP-NEO-1201Big Five + 30 facets120948,692Public-domain item pool; peer-reviewed paperPrimary personality measurement
WHO ASRS v1.12Adult ADHD screen6 / 18154Published validation studyScreening anchor; published threshold
RAADS-143Adult autism screen141,233Open-access validation articleScreening anchor; published threshold
CAT-Q4Autistic camouflaging25832Published scale and psychometric studyContextual dimension
CATI5Autistic trait dimensions422,487Open article + scoring supplement; data by requestContextual dimension

Figure 3. Availability is reported for each cited foundational source, distinguishing item access, publication access, supplementary materials, and author-mediated dataset access.

Conditions of interpretation

Scope, transportability, and appropriate use

Cogniself is developed as psychometric interpretation technology for structured self-understanding, screening, and coaching. Its methodology is developed by a technology team with clinical and methodological input provided through external expert advisory review in the United States. Evidence is reported at the level where it applies: source instrument, scoring implementation, or generated interpretation.

01

Response basis

Interpretation begins with structured self-report and represents patterns in the respondent’s account of their typical behavior and experience.

02

Population transport

Evidence is strongest for the populations, languages, and administration conditions represented in each source study; new settings are treated as transportability questions.

03

Generated synthesis

Interpretations are evaluated against the scored profile, retrieved evidence, and output contract. Consequential applications add independent evidence and qualified human judgment.

04

Screening interpretation

Screening scores estimate signal relative to published thresholds. Professional evaluation integrates those scores with developmental history, differential assessment, and clinical judgment.

References

Primary literature

Instrument foundations are supplemented by a broader literature on personality structure, life outcomes, prediction, and replication.

  1. 01
    Johnson, J. A. (2014)

    Measuring thirty facets of the Five Factor Model with a 120-item public domain inventory.

    Journal of Research in Personality, 51, 78–89.
    Open source
  2. 02
    Kessler, R. C. et al. (2005)

    The World Health Organization Adult ADHD Self-Report Scale: a short screening scale.

    Psychological Medicine, 35(2), 245–256.
    Open source
  3. 03
    Eriksson, J. M. et al. (2013)

    RAADS-14 Screen: validity of a screening tool for autism spectrum disorder.

    Molecular Autism, 4, 49.
    Open source
  4. 04
    Hull, L. et al. (2019)

    Development and Validation of the Camouflaging Autistic Traits Questionnaire.

    Journal of Autism and Developmental Disorders, 49, 819–833.
    Open source
  5. 05
    English, M. C. W. et al. (2021)

    The Comprehensive Autistic Trait Inventory: development and validation.

    Molecular Autism, 12, 37.
    Open source
  6. 06
    Ozer, D. J. & Benet-Martínez, V. (2006)

    Personality and the prediction of consequential outcomes.

    Annual Review of Psychology, 57, 401–421.
    Open source
  7. 07
    Roberts, B. W. et al. (2007)

    The power of personality: the comparative validity of personality traits, socioeconomic status, and cognitive ability.

    Perspectives on Psychological Science, 2(4), 313–345.
    Open source
  8. 08
    Soto, C. J. (2019)

    How replicable are links between personality traits and consequential life outcomes?

    Psychological Science, 30(5), 711–727.
    Open source

Cogniself · O.C.E.A.N.

Traceable measurement. Evidence-grounded interpretation.

Cogniself transforms standardized self-report data into scored, literature-linked reports for self-understanding, screening, and coaching. Clinical contexts add qualified assessment and decision-making.

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