Accuracy Assessment
Statistical index used in laboratory performance evaluation assesses the agreement between an individual measurement and a reference value while accounting for their respective uncertainties. In calibration proficiency testing, the normalized error score determines if the difference between a tested instrument’s output and the reference standard falls within acceptable limits. This calculation divides the absolute difference in measurement results by the root-sum-square of the expanded uncertainties.
The score ceases to be useful if the uncertainties are poorly estimated or if the test conditions diverge from standard calibration parameters.
Calculation Formula
Determining the score involves a calculation that produces a single dimensionless number. A normalized error score of less than one represents a successful comparison, showing that the measurement discrepancies are smaller than the combined uncertainties. A score greater than one indicates that the measurement does not agree with the reference value.
This result prompts an investigation into the laboratory’s calibration setup and procedures.
Uncertainty Alignment
Using the expanded uncertainties of both the participant and the reference laboratory ensures that the score is fair. This alignment prevents a laboratory with a small uncertainty from being unfairly penalized for minor systematic offsets. However, it also means that a laboratory cannot achieve a passing score if its measurement is inaccurate, even if it has a large declared uncertainty.
The metric acts as a check on both measurement accuracy and uncertainty estimation.
Sourcing Audit
Accreditation bodies use this score during surveillance audits to monitor the ongoing competence of the laboratory. If a laboratory fails to achieve a passing score, it may lose its accredited status for that specific measurement. The laboratory must then demonstrate corrective action before it can be re-accredited.