Metric copies allow you to narrow the results of one metric in a new tile so that you can monitor more closely the specific areas that are important to your school system. As an example, your school system may be focused on the overall chronic absence rate. However, upon digging into the data, you noticed that 1st grade attendance is lower than expected across the board. With metric copies, you can track an overall Chronic Absence rate on one tile, while also monitoring the 1st grade chronic absence rate on a separate tile. Read on for more about this feature and for more examples.
What does it mean for a metric to be copied?
We will copy an existing metric and then apply necessary filters to the new metric. The way that the metric is calculated will be exactly the same. For example, if the metric calculation is: the sum of all students who have failed one or more core courses out of all students with grades in core courses, then the copy will use this same calculation.
The differences between the copy and the original may be:
- The copy will have different dataset filters – or filters on dimensional or descriptive data. For example, the copy may have a filter so that it includes only core ELA courses, whereas the other may have a filter for core Math courses.
- The copy will have a different name, definition and tooltips that show up when hovering over results. You will be able to edit this information in Metric Settings once the metric copy has been set up via Support.
- The copy may have different performance levels than the original. For example, the original Course Failure Metric may use the cut point of 2 to determine the percent of students who have 2 or more failing grades in any core course, whereas a Course Failure Rate for Math may use the cut point of 1 to determine the percent of students who have 1 or more course failures in any math course.
How do I request a metric copy?
Please reach out to your project manager or implementation specialist to discuss metrics that you would like to copy. Some questions to think about and discuss:
- Which is the metric you want to copy?
- What is the new metric you want to create? Is it a narrowing of the original metric (e.g., specific grade level)? If so, what filters should be applied to the new one?
- Or is the same population of students but you want a different performance level (e.g., % advanced instead of % proficient)?
- Are there any filters to apply to the original metric (e.g., the original should be math courses and the copy should be ELA courses)?
How are the filters applied?
Filters are applied to the entire dataset used to calculate the metric. For example, a filter on current 3rd graders means that the dataset will include only students who are currently in 3rd grade. A course failure metric filter on an "Algebra I course" will include only students who have grades for Algebra I.
|Metric Type||Supported Filters||Examples|
|All Metrics||School, school level, school region, grade level at the time, current grade level, current demographics, custom groups||ELL enrollment; 3rd Graders Reading on Grade Level|
|Assessment Metrics||Test subject, test type, test sub-type, test name||AP Pass Rate for US History|
|Course Failures||Core course subject, core course name||Course Failure Rate for Core Math Courses|
What are known limitations?
Some common metric requests that are NOT available to be set up using metric copies are:
- Assessment Proficiency Rate per Strand/Skill
- In-School or Out-of-School Suspension Rate or Count
- Excused or Unexcused Absences
- Course failures for non-core courses only
- Course failures based on a different definition of "failure" (e.g., Ds and Fs, while another metric shows only Fs)
- Exclude grade levels (e.g., 12th graders) from starting cohort of Year-Over-Year retention metric. A grade at the time level filter on this metric will exclude current 12th graders AND students who were in 12th grade last year.
We are working on a variety of solutions to support these use cases – either through the ability to copy metrics or to drill down to this level of detail from a top-level metric.