How we know what we claim

Methodology

See where the questions come from, how answers become scores, how to interpret the published reliability figures, and how to use your result responsibly.

Instrument version ipip-hexaco-2026-09-v1Last updated 19 September 2026
24facet scales
6HEXACO domains
96standard items
192extended total

Source, licensing, and scope

Persona 64 is TooReal’s personality exploration framework. It uses six continuous dimensions and 24 facets to describe recurring preferences and ways of acting, rather than assigning a fixed type.

TooReal uses a fixed subset of public-domain IPIP items written to measure HEXACO facets.

The source is the Preliminary IPIP Scales Measuring the Constructs Similar to Those in the HEXACO Personality Inventory. The source page publishes ten keyed items for each facet. TooReal records the source facet code, source item position, and positive or negative key for every selected item. The four-item and eight-item subsets are fixed in advance and are the same for every respondent.

IPIP items are in the public domain. The scoring implementation, six presentation axes, Persona 64 codes, and report rules are TooReal implementations.

Why six axes rather than five?

HEXACO includes Honesty-Humility alongside Emotionality, Extraversion, Agreeableness, Conscientiousness, and Openness. Research comparing HEXACO with five-factor models found that this sixth domain captures relevant variation not represented in the same way by the five-factor structure.

How 24 facets map to six axes

The six axes preserve the detail of all 24 facets while making the overall profile easier to read.

Each presentation axis corresponds to one HEXACO domain and is calculated only from that domain’s four facets.

TooReal axis and polesFour facetsHEXACO domain
Social expressionMore reserved / More outgoingSociability; Social boldness; Liveliness; ExpressivenessExtraversion (X)
Openness to explorationFamiliar approaches / New possibilitiesCreative inclination; Inquisitiveness; Aesthetic appreciation; UnconventionalityOpenness to Experience (O)
Interpersonal accommodationHold your ground / Make room for othersForgiveness; Gentleness; Accommodation; PatienceAgreeableness (A)
Planning and follow-throughRespond as you go / Plan the routeOrganization; Diligence; Prudence; Attention to detailConscientiousness (C)
Emotional sensitivityLess easily moved / More easily movedFearfulness; Worry inclination; Support orientation; SentimentalityEmotionality (E)
Interests and principlesPractical return / Principled boundariesSincerity; Fairness; Greed avoidance; ModestyHonesty-Humility (H)

Emotional sensitivity retains the source direction: higher scores indicate stronger reported emotional responses. Interpersonal accommodation describes responses to disagreement, rather than reasoning ability or empathy.

A different model from MBTI

Persona 64 is not MBTI and is not an extension of its 16 types. Persona 64 retains continuous scores across six axes and 24 facets; the two systems use different constructs, scoring procedures, and result formats.

Administration and scoring

Scores are calculated by fixed, versioned rules; the same answers produce the same facet, axis, and archetype data.

All calculations are deterministic: the same versioned answers produce the same scores and report data.

  1. ResponsesEvery item uses five fully labelled choices from Strongly disagree (0) to Strongly agree (4). Items are interleaved so that every block of 24 includes one item from each facet.
  2. Reverse keysNegatively keyed items are transformed with 4 − response. Positive items retain the original response.
  3. Facet scoresThe keyed item mean is divided by 4 and multiplied by 100. A facet score therefore runs from 0 to 100.
  4. Axis scoresEach axis is the equal-weight mean of its four facet scores, retaining the direction and unrounded means used in the report.
  5. Persona 64 codeEach axis is split at 50. The X/A/E combination selects one row and O/C/H selects one column in the 64-cell matrix. The code summarizes continuous scores; it is not a separately validated type construct.
facet = mean(keyed responses) / 4 × 100axis = mean(4 facet scores)

A score of 50 is the midpoint of the response scale. It does not mean the respondent is at the 50th population percentile. Completed reports require every item in the selected sitting, so the current scoring path does not impute missing answers.

Published reliability of the parent scales

Published reliability figures describe the source scales, not a guarantee about any one person’s result.

The values below are coefficient alpha reported by IPIP for the full ten-item parent scales. They provide context, but they are not reliability estimates for TooReal.

AxisFacetTooReal itemsParent alpha
Social expressionSociability4 / 8.85
Social expressionSocial boldness4 / 8.86
Social expressionLiveliness4 / 8.82
Social expressionExpressiveness4 / 8.84
Openness to explorationCreative inclination4 / 8.85
Openness to explorationInquisitiveness4 / 8.78
Openness to explorationAesthetic appreciation4 / 8.83
Openness to explorationUnconventionality4 / 8.84
Interpersonal accommodationForgiveness4 / 8.78
Interpersonal accommodationGentleness4 / 8.81
Interpersonal accommodationAccommodation4 / 8.73
Interpersonal accommodationPatience4 / 8.88
Planning and follow-throughOrganization4 / 8.85
Planning and follow-throughDiligence4 / 8.81
Planning and follow-throughPrudence4 / 8.80
Planning and follow-throughAttention to detail4 / 8.80
Emotional sensitivityFearfulness4 / 8.84
Emotional sensitivityWorry inclination4 / 8.85
Emotional sensitivitySupport orientation4 / 8.73
Emotional sensitivitySentimentality4 / 8.79
Interests and principlesSincerity4 / 8.81
Interests and principlesFairness4 / 8.81
Interests and principlesGreed avoidance4 / 8.69
Interests and principlesModesty4 / 8.81

How to read these figures

They describe the ten-item source scales, not the shorter TooReal subsets. TooReal administers four or eight of each parent scale’s ten items, while reliability also depends on item selection, length, language, and the respondent sample. The published values are useful background, but they are not TooReal reliability estimates, a ceiling, or a guaranteed lower bound.

What alpha can and cannot tell you

Alpha describes how consistently the items in a scale move together. It does not by itself show that the scale measures the intended construct, remains stable over time, predicts an outcome, or is precise enough for an important decision about one person.

Greed Avoidance has the lowest published parent alpha in this set (.69), so its score deserves particular restraint in interpretation.

What changes between 96 and 192 items

The 96- and 192-item versions measure the same 24 facets; the longer version provides more observations for each facet.

Both sittings measure the same 24 facets and use the same scoring model.

96

Standard sitting

Four fixed items per facet. This is the shortest reportable version and provides the free-result path.

192

Extended sitting

Adds four different fixed items per facet, for eight in total. It supplies more observations to each facet while preserving the same constructs and arithmetic.

Which version should you choose?

Choose 96 items for the shorter complete profile. Choose 192 if you are comfortable spending more time to provide twice as many responses for each facet. More well-matched items can make an average more stable, but we do not present the extended version as guaranteeing narrower confidence intervals or a more accurate diagnosis.

How reports are generated

Social expression, interpersonal accommodation and emotional sensitivity form eight interaction patterns. Openness to exploration, planning and follow-through, and interests and principles form eight approaches to action. Their 8 × 8 combination provides 64 readable summaries of continuous scores.

The scored report is generated from fixed, versioned rules.

The complete Persona 64 report is generated from versioned scores by fixed, server-side rules. The same instrument version and answers produce the same structured scores, archetype code, and selected strengths. The browser does not supply trusted report scores.

The archetype code splits each continuous axis at its midpoint. Report prose combines score bands and facet-specific rules; it should be read as structured interpretation, not as an independently validated psychological conclusion.

Appropriate use and prohibited decisions

Persona 64 can support self-reflection and conversation. It is not a clinical diagnosis, a measure of ability, or a basis for high-stakes decisions.

Persona 64 is a structured reflection tool for personal exploration.

Reasonable uses

  • Generate questions for self-reflection.
  • Discuss preferences and trade-offs voluntarily.
  • Track hypotheses about recurring behavior.

Do not use it for

  • Diagnosis, treatment, or crisis assessment.
  • Hiring, promotion, admissions, or eligibility.
  • Legal, financial, insurance, or safety decisions.

Do not interpret small score differences as meaningful change. Do not infer ability, morality, mental health, or future conduct from a facet name or archetype.

Sources and references

The model documents below identify the item sources and explain how TooReal applies them.

Links lead to the item source or publisher record where available.

  1. International Personality Item Pool. Preliminary IPIP scales measuring constructs similar to the HEXACO Personality Inventory.
  2. Ashton, M. C., Lee, K., & Goldberg, L. R. (2007). The IPIP-HEXACO scales: An alternative, public-domain measure of the personality constructs in the HEXACO model. Personality and Individual Differences, 42(8), 1515–1526. https://doi.org/10.1016/j.paid.2006.10.027
  3. Ashton, M. C., & Lee, K. (2008). The prediction of Honesty–Humility-related criteria by the HEXACO and Five-Factor models of personality. Journal of Research in Personality, 42(5), 1216–1228. https://doi.org/10.1016/j.jrp.2008.03.006
  4. Goldberg, L. R. (1999). A broad-bandwidth, public-domain, personality inventory measuring the lower-level facets of several five-factor models. In I. Mervielde et al. (Eds.), Personality Psychology in Europe (Vol. 7, pp. 7–28).