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It’s always neat to see what other people can do with MAP data, and this visualization is a really nice example of someone taking an analysis that has the potential to be confusing or complex, and displaying it in such a way that the interpretation is immediately clear.

The developer of this visualization is showing the probability, or likelihood, that a student will score proficient or above on the New England Common Assessment Program (NECAP), a series of assessments administered to students in New Hampshire, Rhode Island, and Vermont. Here, the author estimates the probability of achieving proficiency on the NECAP using a student’s Fall RIT score and his/her grade. For example, if a 3rd grade student has a Fall RIT score of 200 in mathematics, then the probability of that student scoring proficient or above on the NECAP is 84%.

For educators, this type of visualization is not overly complex, and it really makes the interpretation of testing data straightforward and easy to understand. It also really shows how handy these visualizations can be! Check it out if you have a chance (including some of the other ones contained on the developer’s website).