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Personality type or personality traits? What the evidence says about the two approaches

Rob Dominic, CPsychol · Published 26 Oct 2026 · Updated 26 Oct 2026

Personality type and personality traits are two different ways of describing the same people. Type-based questionnaires sort people into categories; trait measures place them along continuous scales. The evidence suggests each has a natural home, and the choice matters most when a decision about someone's job depends on it.

Two ways of describing personality

The type approach descends from Carl Jung's theory of psychological types, first published in 1921. Jung described two attitudes, introversion and extraversion, and four functions through which people perceive and judge the world.[1] Modern type-based questionnaires build on this to describe preferences on four dimensions, combining them into 16 types. A type report tells people which of each pair of preferences they lean towards and describes the patterns that typically follow.

The trait approach comes from a different research tradition. Rather than starting with a theory, psychologists analysed how people describe one another and found that the variation clusters into five broad dimensions: conscientiousness, emotional stability, extraversion, agreeableness and openness to experience. This five-factor model, often called the Big Five, treats each dimension as a continuum on which everyone falls somewhere, most people near the middle.

The two approaches overlap more than their vocabularies suggest. Introversion and extraversion appear in both, and several type preferences relate to Big Five traits. The real difference is structural: does personality come in kinds, or in amounts?

The bimodality debate

If people genuinely fall into distinct types, scores on each dimension should cluster into two groups with relatively few people in the middle, a bimodal distribution. If personality is continuous, scores should pile up in the middle and thin out towards the extremes.

The weight of evidence favours continuity. Arnau and colleagues applied taxometric analysis, a set of statistical methods designed to tell categories from dimensions, to three different Jungian type measures and found no meaningful underlying categories: the preferences behaved as continuous dimensions.[2] A broader meta-analysis of taxometric research across psychological characteristics found that findings supporting dimensions outnumbered those supporting categories by five to one.[3]

Type practitioners have a reasonable response. Type theory concerns preference, not quantity: the claim is that people have a preferred way of operating, as with handedness, rather than that a score measures how much of something they have. On this view, the value lies in the framework for understanding difference, not in where exactly someone falls on a scale. That is a coherent position for development work. Its practical cost is that two people with almost identical scores either side of the midpoint receive different type descriptions, while two people at opposite ends of one side receive the same one. Many type questionnaires address part of this by also reporting how clearly each preference was expressed.

Where type instruments add value

Type-based instruments are widely used in development, coaching and team work, and there are good reasons for that. A type framework gives people an accessible, non-judgemental language for talking about differences: how they prefer to take in information, make decisions or organise their work. Every type is presented as having strengths, which makes conversations about difference constructive rather than evaluative. For self-understanding, communication and team building, that accessibility is a genuine strength, and the categorical simplification helps people remember and use what they have learned. Our Type Dimensions Profiler is a Jungian instrument of this kind.

Why trait measures are preferred for selection

When a hiring or promotion decision depends on a personality measure, the questions change. The evidence employers need is that scores predict outcomes in the role, and here the trait literature is much stronger. Barrick and Mount's landmark meta-analysis found that conscientiousness predicted performance across all the occupational groups and criteria they studied, while other traits predicted in specific contexts, such as extraversion for managers and sales staff.[4] Sackett and colleagues' 2022 re-analysis lowered many validity estimates, but found that personality measures framed in a work context performed considerably better than general ones.[5] Trait measures have limits of their own: validities for individual traits are modest, and self-report scales can be distorted when candidates present themselves favourably, so they too need careful use.

Continuous scales also suit selection better in principle. They preserve the differences between people that a category discards, and they let assessors weight the traits that job analysis shows matter for the role. For a fuller review, see Personality questionnaires in recruitment: what the research shows.

Choosing the right approach

The practical recommendation follows from the evidence. Use type-based instruments for development, coaching, team work and self-understanding, where the aim is insight and conversation. Use trait-based measures for selection and other decisions about people, where the aim is prediction and fairness, and interpret results in bands alongside interviews, ability tests and other evidence rather than as a gate on their own. Our Talent Dimensions Survey is a trait-based questionnaire, and our personality assessments page sets out both options. Each approach is strongest when used for the job it was designed to do.

References
  • 1. Jung, C. G. (1971). Psychological Types. Collected Works of C. G. Jung, Volume 6. Princeton University Press (originally published 1921).
  • 2. Arnau, R., Green, B., Rosen, D., Gleaves, D. & Melancon, J. (2003). Are Jungian preferences really categorical? An empirical investigation using taxometric analysis. Personality and Individual Differences 34(2), 233–251.
  • 3. Haslam, N., McGrath, M., Viechtbauer, W. & Kuppens, P. (2020). Dimensions over categories: a meta-analysis of taxometric research. Psychological Medicine 50(9), 1418–1432.
  • 4. Barrick, M. & Mount, M. (1991). The Big Five personality dimensions and job performance: a meta-analysis. Personnel Psychology 44(1), 1–26.
  • 5. Sackett, P., Zhang, C., Berry, C. & Lievens, F. (2022). Revisiting meta-analytic estimates of validity in personnel selection: addressing systematic overcorrection for restriction of range. Journal of Applied Psychology 107(11), 2040–2068.
The right personality measure for the job

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