Type of Panel Mean: Adjusted or
Arithmetic. Arithmetic means are the well known means, calculated by summing
the observations then dividing by the number of observations. Adjusted means,
commonly called Least-Squares means (LSmeans) or Estimated Marginal Means
(EMMs), use a regression model to calculate the means adjusting for the balance
of the data.
Include Panel Mean: Should the panel level
mean be included for each attribute?
Y-axis Scale: Automatic or Manual.
Automatic chooses the plotting range from the range of each attribute. Manual
uses the plotting range you specified.
Y-axis
min value: The smallest value that will appear on all plots when specifying
the plotting range manually.
Y-axis max value: The largest value that
will appear on all plots when specifying the plotting range manually.
Anonymise Assessors? Choose to replace
the assessor names or not. There are options for randomly generated names or
names from the assessor metadata.
Anonymise Products? Choose to replace the
product names or not. There are options for randomly generated names or names
from the product metadata.
Anonymise Attributes? Choose to replace
the attribute names or not. There are options for randomly generated names or
names from the attribute metadata.
A strip plot for each attribute, with the panellist average for each product plotted and if “Include Panel Mean” was set to “Yes” then the panel level mean is also plotted as a strip for each attribute and product.
If “Type of Panel Mean” was set to “Adjusted” then the panel means will be adjusted means from models of the form:
Attribute = Product + Assessor + Product:Assessor + Residuals.
A small spread between panellists suggests good agreement, whereas similar means across products suggests poor discrimination or that the products are similar on that attribute.