The Performance Summary tab in Single Test Analysis helps teachers quickly assess the number of students in a performance level along with their raw scores. This information can help teachers determine if there are any abnormal patterns regarding student performance levels on a specific test.
Note: Single Test Analysis only works within Aware Beta.
Harnessing the Performance Summary
As you navigate the Performance Summary, you will see the number of tests scored out of the number of tests assigned to students. These numbers are live and change as more tests are scored. The dataset changes to reflect your drop-down menu selections if you choose multiple courses as a teacher or multiple schools and testing instructors as an administrator.
Note: The analysis will not include data from students who have yet to take the test or if there are unscored constructed response questions.
Step 1: Determine if you want to narrow down the test data.
Teachers can filter the data by class period. Select class periods under the Groups drop-down menu and click Apply. The bar chart default includes scored test data from all class periods.
If you do not want to apply the Groups filter, proceed to Step 2.
Administrators with data view rights can filter the data by school or instructor. Select the campuses under the Schools drop-down menu, and click Apply. From there, navigate to the Testing Instructors drop-down menu to filter by the instructor if desired. Make your selections and click Apply. The bar chart default includes scored test data from all schools and instructors.
If you do not want to apply School or Testing Instructor filters, proceed to Step 2.
Step 2: Examine the bar chart. The y-axis shows the % of Students within the following performance levels:
- Does Not Meet
Note: An Aware Data Administrator can set the names of up to five performance levels for their district to use across all local assessment test types.
The x-axis shows the Raw Score. By default, the bar chart displays the number of students who qualify for a performance level out of the total students possible. For example, the number of students who fall into the Approaches performance level could be 12 out of 60.
Toggle on Show Percent to display these numbers as a percentage instead. For example, the percentage of students who fall into the Approaches performance level could be 20% of the total number of students.
Click on each performance level section of the bar chart to highlight the same performance level column under the Student Demographic Distribution below.
Step 3: Explore student data more granularly with the Student Demographic Distribution information beneath the graph. The student data offers three distribution categories to explore:
- Emergent Bilingual/English Learner
Every subcategory displays the number of students contained within each one. For example, the At Risk student group could show 43 students. However, since the data is live, the number could rise if the teacher grades more tests.
Click any underlined text to show a subcategory breakdown on the bar chart. For instance, click Black/African American to view how students in that specific subcategory are distributed across each performance level. Click the underlined text again to view the complete data set with all students included.