- Measuring Growth
- Concept of Growth
- Growth Measures and Standard Errors
- Gain Model
- Predictive Model
- Topics in Value-Added Modeling
- School Reports
- District Reports
- Teacher Reports
- Accessing the Teacher Reports
- Teacher Composite
- Teacher Value-Added
- Teacher Diagnostic
- Teacher Custom Diagnostic
- Reports for Administrators
- Teacher Pattern Report
- Student Reports
- Comparison Reports
- District Value-Added Summary
- School Value-Added Summary
- School Diagnostic Summary
- School Perf Diagnostic Summary
- School Search
- Feeder Pattern Report
- Roster Verification
- Additional Resources
- Admin Help
- Understanding Accounts
- Managing Accounts
- State Admin Tasks
- District Admin Tasks
- School Admin Tasks
- Changing a User's Email Address
- Resetting a User's Password
- Deactivating and Reactivating Accounts
- Sharing Account Management
- Managing Access to Teacher Reports
- Creating Usage Reports
- General Help
Interpreting the Data
The Bar Chart
The purpose of the District Diagnostic reports is to help the district assess the growth of students at different achievement levels. These reports can help teachers and administrators set priorities for improving the instructional program to meet the needs of students at all achievement levels.
To compare growth across groups, it can be helpful to focus on the chart first.
In this chart, the green line represents expected growth. The blue bars represent the growth of students in the most recent year. On the and reports, if you have data from previous years, you'll also see gold bars on the chart. The gold bars represent the growth of students for this district in the same subject and grade or course for up to three previous years. In other words, the blue bars represent the cohort of students from the most recent year, while the gold bars represent previous years' cohorts.
Each bar has solid and dotted black whiskers. The solid whiskers mark one standard error above and below the growth measure, and the dotted whiskers mark two standard errors above and below the growth measure. It's important to consider the standard error as you interpret the growth measures represented by the bars on the chart. Consider the overall pattern of the bars rather than focusing on any individual value. However, it can be helpful to keep these guidelines in mind.
|A bar that is at least one standard error above the line suggests that the group's average achievement level increased. If the bar is at least two standard errors above the line, the evidence of growth is even stronger.|
|Likewise, if the bar is at least one standard error below the green line, the group likely lost ground academically, on average. If the bar is at least two standard errors below the line, the evidence is stronger.|
|Regardless of whether the bar is above or below the green line, if it is within one standard error of the line, the evidence suggests the group's average achievement did not increase or decrease.|
The Pie Chart
The slices of the chart are color-coded to indicate whether the group's average achievement level increased, decreased, or remained about the same compared to expected growth.
Growth Measure Compared to Expected Growth
At least one standard error above
Moderate evidence that the group made more growth than expected.
Between one standard error above and one standard error below
Evidence that the group made growth as expected.
More than one standard error below
Moderate evidence that the group made less growth than expected.
Not enough students to generate a growth measure.
As you reflect on these reports, you might want to ask yourself these questions:
- Did each group make enough growth to at least meet expected growth?
- Is there a difference in the amount of growth the groups made?
- If there is a difference in the amount of growth across groups, what factors might have contributed to the differences?
For Diagnostic and Performance Diagnostic reports:
- Is the overall pattern of growth consistent across grades for the same subject?
- Is the overall pattern of growth consistent across subjects in the same grade?
- Is the overall pattern of growth consistent across courses?
- How does the pattern of growth for demographic subgsets compare to the pattern for all students?
- How can this information inform course placement, instructional practices, strategies, and academic programs?