Calculating Checkpoints - The Math Behind Your Aggregated Data

lead4ward Heat Maps, Student Learning Reports, and Leadership Report Cards allow users to create varied combinations of Checkpoints that combine one or more assessments' results.  In order to ensure that tests with fewer items for each SE and/or fewer students tested do not carry the same weight in the results as assessments with more, these reports use a total points logic when tests are combined into one checkpoint.

The table below shows how the result for a standard is calculated using sample data.  For this example, we have two tests being included in a single Checkpoint.  Three of the items on the first test covered student expectation 5.2(B).  300 students took the first test.  Two items on the second test covered 5.2(B).  30 students took the second test.  To illustrate the effectiveness of weighting, the second test's results are considerably lower than the first's.  

As you analyze the table, note that the Weighted Average for 5.2(B) is not affected by the second test as much as it would be without the weighting.