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Results and Scoring

Percentile Rank

Also called: percentile score, percentile standing

A percentile rank is the percentage of scores in a reference group that fall at or below a given score. If a personality score is at the 80th percentile, it is as high as or higher than about 80% of that norm group. It does not mean 80% correct or 80% of the maximum possible trait.

Reviewed July 14, 2026 · 2 min read

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What the percentile compares

Percentiles convert a raw or modeled score into relative standing within a norm group. The same raw score can receive a different percentile when compared with a different age group, country, occupation, or sampling period.

The norm group therefore belongs in the interpretation. “80th percentile in a representative adult sample” is meaningful; “80th percentile” alone is incomplete.

What it does not mean

The 80th percentile does not mean:

  • 80% of questions were answered correctly;
  • the person has 80% of a trait;
  • the score is 80 points on a universal scale;
  • the estimate has 80% certainty.

Personality items usually have no correct response, and posterior probability is a different concept.

Percentiles are not equal intervals

Percentile ranks compress the middle and stretch the tails. The score difference between the 50th and 60th percentiles is not necessarily equal to the difference between the 80th and 90th. Arithmetic on percentile ranks can therefore mislead.

Precision and norms

A percentile is still based on an estimated score with measurement error and on a sampled reference distribution. Outdated or unrepresentative norms weaken the comparison. Responsible reports identify the norm population and avoid treating tiny percentile differences as meaningful.

Go deeper: How to read personality-test results

Sources

Related terms

Normative vs Ipsative ScoringNormative scoring compares a person's result with scores from other people or a reference population. Ipsative scoring compares traits within the same person's profile, showing which tendencies are relatively stronger or weaker for that individual. These interpretations answer different questions and should not be substituted for one another.Personality DimensionA personality dimension is a continuous scale used to represent differences in a trait or behavioral tendency. Instead of sorting people into an all-or-nothing category, a dimension allows low, moderate, and high positions with many values in between. Most modern personality scoring models use dimensions even when results are later summarized with labels or archetypes.Probability DistributionA probability distribution assigns probabilities or density across possible outcomes. In personality testing, it can represent uncertainty over trait values, profiles, or archetypes after the available answers. A concentrated distribution indicates that the model favors a narrow set of possibilities; a spread-out distribution shows that several interpretations remain plausible.