Descriptive Analysis Workbook p vs MSE (Attribute)

Descriptive Analysis Workbook p vs MSE (Attribute)

What is it?

p vs MSE (Attribute) is one of the sheets in the Descriptive Analysis Workbook. One graph per attribute with panelist p and MSE values plotted.

Why would I use it?

Quickly identify panelists struggling with repeatability or discrimination ability by attribute.


Setup options



To generate the p vs MSE (Attribute) sheet, under 2. Select Options , select p vs MSE (attribute) .


Reps are required to run this sheet.

Analysis Overview

Data is based on the results of a one-way ANOVA.


  1. x-axis . p-value
  2. y-axis . MSE value
  3. Legend: Panelist names .  Symbols for each of the selected panelists
  4. Legend: Other . All data points are for all attributes and panelists are provided in each graph but only those pertinent to the specified graph are identified in the legend.
A low p-value indicates a high discriminating ability by the panelist.
A low MSE value indicates a high repeatability of responses by the panelist across sessions.


Example Conclusion

Noel Crabtree has a low p-value but higher MSE for Fresh Apple Aroma indicating high discriminating ability, but the responses were not well replicated across the sessions. We already know he flipped the scale for this attribute from the Crossover Table, but this further shows that he was still able to discriminate by the Fresh Apple Aroma attribute.