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Coating Trial Exclusions: Publish the Rule Before Removing Data
Data exclusions can be legitimate, but selective removal after seeing unfavourable results undermines the comparison.
Updated · NANOLAB Knowledge
Practical approach
Define invalid-measurement conditions in advance. Preserve excluded observations with their reason and report how many were removed.
A documented instrument fault differs from a valid sample that simply performed poorly.
Decision limits
Do not call an inconvenient result an outlier without investigation. Apply the same exclusion rule to all compared products.
Related guidance
- How to Read a Ceramic Coating Technical Data Sheet
- Measuring Colour Change in a Nano Coating Trial
- Coating Trial Data: Keep Raw Observations Separate from Scores
- Coating Field Trials: Distinguish Calendar Time from Use
Ask NANOLAB about the exact product and intended use. Use the current product documentation for formulation-specific instructions.
Continue reading
How to Read a Ceramic Coating Technical Data Sheet
Find the information that affects product selection, installation and maintenance, and identify missing details before the job begins.
Measuring Colour Change in a Nano Coating Trial
Plan a colour-change assessment for nano coatings with matched samples, consistent lighting and a clear distinction between visual observation and instrument data.
Coating Trial Data: Keep Raw Observations Separate from Scores
A score compresses observations into a category. Retaining the underlying observations allows later review when the scoring rule is questioned.