• NES data can be analyzed using the K-means Cluster analysis to investigate if they exist different groups of experts assessing concrete blocks of items. Using this, a researcher can study the degree of agreement among experts and establish different profiles (if they really exist). Once established, the groups of experts can be related with their individual characteristics using the background variables to make a descriptive report.
  

• The data of a given year can be compared with previous years using the five points variables because 2015 is the first year of 9 points scales use. This analysis can reveal if there are significant differences between two or more years for concrete items or blocks of items.

• The scores of principal components can be used as dependent variables to be explained by the individual scores of the original items forming a block. This analysis provides the weight or contribution of each item to the principal component which summarizes the block.