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Elements and Performance Criteria

  1. Verify accuracy of data and technical records
  2. Inspect data records to check the integrity of data entry, alterations, transfers and calculations
  3. Confirm that technical records contain sufficient information to provide an audit trail for the tests involved
  4. Assess the quality of data/results
  5. Analyse data trends and results for blanks, duplicates and/or check samples to detect systematic uncertainties
  6. Use statistical tests and workplace procedures to check data acceptability
  7. Check that estimations of uncertainties are reasonable and consistent with test method, client or product specification requirements
  8. Identify results that cannot be reconciled with technical records and/or expected outcomes
  9. Identify potential causes for unacceptable results
  10. Check for obvious sources of interferences that may have occurred during measurements
  11. Review technical records to identify human or environmental factors that could affect reliability of results
  12. Review records of sample collection and preparation to confirm chain of custody requirements and adherence to sampling procedures
  13. Check that any documented deviations from sampling procedures and/or test methods were technically justified and authorised
  14. Check the condition of sampling equipment and/or stored samples if available/appropriate
  15. Report findings to relevant personnel
  16. Document potential sources or instances of non-conforming work and assess their significance
  17. Recommend appropriate preventative/corrective actions to improve sampling, testing and/or calibration activities
  18. Prepare reports in a format and style consistent with their intended use and workplace guidelines