Require team members to agree on the position of each item in the ordered list. This will promote discussion and negotiation about individual preferences.
Have student teams sort the list from different perspectives. For example, ask one team to sort the list the way their grandparents might while another sorts by how their future grandchildren will. In a literature activity, have student teams take on the role of different characters, then sort according to those characters' points of view.
Have different teams sort the list using different criteria. After they have sorted their list they can discuss why their rankings differ.
The correlation that is displayed in the Visual Ranking Tool, called the Spearman Correlation coefficient, is a measure that is reserved for looking at data sets that are arranged in rank order. You can turn the correlation indicator on or off on the project setup page.
Any two sets of data (in this case, two ordered lists) can be compared to see to what extent they are related. One measure of the relationship between two lists is the coefficient of correlation. The numerical value of the coefficient tells us to what degree we can predict the position of an item in list B, just by knowing its position in list A. The strength of this correlation varies from 0 (we can't tell at all) to 1 (we are certain). The correlation also has a sign to indicate whether the item in list B will be in a similar position to the item in list A (a positive correlation) or the opposite position (a negative correlation).