This article explains how to analyze PARCC / IAR data for multiple students in the 3rd Party Analytics module. Click here to learn how to view 3rd party data for an individual student.
Step 1: From the Analytics module, select 3rd Party.
Step 2: Set the date range and filters (optional).
Step 3: Click on the NWEA tile.
Step 4: Choose the subject and Growth Comparison Period.
❗ If you are in an admin account, the Analytics module is located second from the top. The above image was taken from within a teacher account.
There are three sections of this report:
➡️ Summary NWEA Data
This summary details the count of students, the district mean RIT for the selected criteria, norm mean RIT for the selected criteria, and the average time spent on the assessment.
If you select View all uploaded NWEA student data, you will see ALL uploaded student data and the filters will be disabled.
If you selected a growth comparison period that involves a range (for example, Spring 2018 - Spring 2019), you will see two pie charts; one for the percent who met and exceeded their RIT, and one for the percent projected proficiency.
Select the See Instructional Area Scores to to view student performance based on a strand.
Selecting any portion of the pie chart will open a list of students that fall in that category. You can then select Manage Groups to add all of those students to a group (or create a new group).
➡️ Group NWEA Breakdown
This section displays a table that will show a list of students that have fallen into each 10-point range.
Select a range from the left side to see the students that fell into the range.
You can select multiple students using the checkboxes and add them to groups by selecting Manage Groups.
➡️ Individual NWEA Breakdown
This includes a list of students in alphabetical order that shows their grade level, discipline, test type, RIT score, and test time.
Select any student to see a more detailed breakdown of their scores (similar to what is shown in the student profile).
Otus Live
Below is a video from our Otus Live video series on how to analyze NWEA data in Otus.