PSD.9:4.3 - Give each measure a usable meaning

For every consequential measure, state the characteristic, subject or participant tuple, scale and unit where applicable, direction of preference, horizon, source, and missingness rule. Distinguish a direct measure from a proxy and say what the proxy cannot establish.

Use C.16 for measurement and A.19 when a declared multi-characteristic space or reusable predicate is needed. A.19 supplies coordinate and scale meanings; it does not perform scoring, aggregation, comparison, or selection. A number missing its subject or scope is not repaired by placing it in a common column.

Keep raw consequence descriptions alongside any value transformation that the comparison uses. A performance scale and a value scale answer different questions. If an ordinal judgement is used, preserve its ordering without assuming equal intervals or averaging categories. If a numerical value function is used, state the consequence range, anchors, interpolation or shape, and the elicitation basis that makes the transformation meaningful.