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Proficiency test data interpretation and data rejection.

Simon Jerome1, Arvic Harms2

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This study introduces new methods for evaluating radioactivity proficiency test exercises (PTEs). These include the R-test for uncertainties and advanced data visualizations for better performance assessment.

Keywords:
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Area of Science:

  • Analytical Chemistry
  • Radiochemistry
  • Metrology

Background:

  • Proficiency testing (PT) is crucial for quality assurance in radioactivity measurements.
  • Existing evaluation methods for PT exercises have limitations in interpreting results and uncertainties.

Purpose of the Study:

  • To enhance the interpretation, evaluation, and visualization of radioactivity proficiency test exercises (PTEs).
  • To introduce novel statistical tests and graphical tools for a more comprehensive assessment of laboratory performance.

Main Methods:

  • Introduction of the R-test for the acceptance of relative uncertainties.
  • Development of an overall performance score.
  • Application of modified Naji- and Pom-plots for enhanced data visualization.
  • Identification of 'improbable deviations' and other outliers using Peirce's Criterion.

Main Results:

  • The R-test provides a standardized method for evaluating relative uncertainties.
  • Modified Naji- and Pom-plots offer improved visual representation of laboratory performance.
  • The combined approach allows for more robust identification of performance issues in PTEs.

Conclusions:

  • The proposed extensions significantly improve the evaluation and interpretation of radioactivity proficiency tests.
  • These methods offer a more sensitive and comprehensive approach to quality control in radiochemical analysis.
  • The enhanced visualization and statistical tests aid in identifying and addressing laboratory performance deviations.