Construct · 2 fields · 3 citations

Where does score collide?

One name. Different field. Different construct. One map.

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score2 CONSTRUCTSTest scoreLORD · OBSERVED SCORECredit/risk scoreROSENBAUM · RISK NUMBER

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1968Test score1983Credit/risk score
2026

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Psychometrics and measurement

A number summarising test responses

In psychometrics a score is the single number that summarises how a person answered a test: their responses are scored and added up into one figure that stands in for the trait being measured. Classical test theory splits that observed score into a true score, the value you would get on average across endless testings, plus an error term, so the number you see is never quite the number you want. A score can be read against a norm group, showing how this person ranks against others, or against a fixed criterion, showing whether they cleared a set bar, and the two readings say different things. Lord and Novick's 1968 Statistical theories of mental test scores set out this observed-versus-true-score framework in full. The referent here is a measurement summary of a person's responses, not a page of written music, a model's output, or a game tally.[1]

Unit
A person's test result, as one number summarising scored responses
Recovery means
Not applicable
Measured by
Computed by scoring and summing item responses, then interpreted against norms or a criterion, with reliability estimating the true-score share

Predictive analytics and statistics

A model's risk or propensity number

In predictive analytics a score is a number a model assigns to a case to rank its risk or propensity: a credit score orders borrowers by the chance they will repay, and a propensity score gives the modelled probability that a unit receives a treatment given its characteristics. The figure is an output of a fitted model, not a direct measurement of a person, and cases are then compared, ranked, or matched by it. Rosenbaum and Rubin's 1983 propensity score showed how a single such number can balance many background variables between treated and untreated groups. Thomas's 2000 survey traced how credit and behavioural scores forecast the financial risk of lending to consumers. The referent is a model's estimate attached to a case, not a person's test result, a page of notation, or points on a board.[2][3]

Unit
A model's numeric estimate of a case's risk or propensity
Recovery means
Not applicable
Measured by
Produced by fitting a model to data, then output per case as a probability or points, and checked by how well it ranks the outcome it predicts

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Nearby collisions

validity6 fields · 10 citationsjingle · one name, six constructsinstrument1 fields · 1 citationsanchor · a standalone constructfactor3 fields · 4 citationsjingle · one word, three constructs

References

  1. Lord, F. M., & Novick, M. R. (1968). Statistical theories of mental test scores. Addison-Wesley. ISBN 978-1-59311-934-8 (2008 reprint, Information Age Publishing). ISBN 9781593119348
  2. Rosenbaum, P. R., & Rubin, D. B. (1983). The central role of the propensity score in observational studies for causal effects. Biometrika, 70(1), 41–55. https://doi.org/10.1093/biomet/70.1.41
  3. Thomas, L. C. (2000). A survey of credit and behavioural scoring: Forecasting financial risk of lending to consumers. International Journal of Forecasting, 16(2), 149–172. https://doi.org/10.1016/S0169-2070(00)00034-0

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