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Analyzing the Keystone Exam Data

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By using all three of the Keystone Exam data analysis tips below, you will create a bigger picture of your students' Keystone Exam results. 

Having the data in a format that can be analyzed helps determine what areas need to focus on and with which students. Through the data analysis teachers are able to target areas of student strength and weakness.

Check out EdInsight's Keystone Tracking Module.

Keystone Exam Tip 1 - Breakout Question Type Results

The Keystone Exam has two types of questions - Multiple Choice and Constructed Response. First, determine student scores in each category. Below is a sample graph produced in Excel that demonstrates the breakdown between the two question types.


In this sample district, the results were 20% better for the multiple choice than the constructed response. Based on this data, a recommendation can be made to emphasize constructed response type questions when designing lessons.


If your district is using a formative benchmark to help guide instruction, pay particular attention to the Constructed Response question results and provide interventions to students that are struggling with that question type.  

Additional Resources for Constructed Response items:

Keystone Exam Tip 2 - Determine Points Required to Pass an Anchor and Module

The Algebra exam focuses on six Keystone anchors - three for each module.

Start by breaking the data down by students that passed each module and students that did not pass each module. Then break down each group by average score per anchor as well as total number of students that passed or did not pass each module.

Using the file you can determine the number points required to pass an anchor. [See graph below] Set your target lines and you can get an overall picture of the students' performance on the anchors. Be careful with averages, however, they can be misleading. Make sure to drill down to the real data. 


Keystone Exam Tip #3: - Tracking Keystone Data Results

Use the Keystone file in Excel to breakdown the data into groups. See how the below sample spreadsheet looks, in regards to the Biology results. Performance on each module is tracked as well as whether or not a student passed the module.

Organizing the data in this fashion allows you to begin to track student results and determine which students need remediation and which students need to be scheduled for a retest.