ECTA Center
CESA #
ABC School District
1. Entry Distribution by District/CESA/State
Predicted Pattern: At entry there will be a few children with very high or very low numbers.
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Discussion Questions:
1. What do you notice about your local data?
2. What stands out as a possible ‘red flag’?
3. What might you infer about the data?
4. What additional questions does it raise?
5. What next steps might you take?
2. Average Entry Rating by Primary Eligibility Determination
Predicted Pattern: Groups of children with more severe disabilities should have lower entry numbers than groups of children with less severe disabilities.
| |Total % | | | | | |
|Autism |3.4% | | | | | |
|Cognitive Disability |3.4% | | | | | |
|Emotional Behavioral Disability |2.1% | | | | | |
|Orthopedic Impairment |0.7% | | | | | |
|Other Health Impairment |4.8% | | | | | |
|Significant Developmental Delay |32.9% | | | | | |
|Speech or Language Impairment |52.7% | | | | | |
| | | | | | | |
|Outcome 1 |2 |3 |4 |5 |6 |7 |
|Cognitive Disability |20.0% |40.0% |20.0% |20.0% |0.0% |0.0% |
|Emotional Behavioral Disability |0.0% |0.0% |100.0% |0.0% |0.0% |0.0% |
|Orthopedic Impairment |0.0% |0.0% |100.0% |0.0% |0.0% |0.0% |
|Other Health Impairment |14.3% |14.3% |28.6% |42.9% |0.0% |0.0% |
|Significant Developmental Delay |31.3% |18.8% |31.3% |14.6% |4.2% |0.0% |
|Speech or Language Impairment |2.6% |2.6% |3.9% |28.6% |24.7% |37.7% |
| | | | | | | |
|Outcome 2 |2 |3 |4 |5 |6 | |
|Cognitive Disability |60.0% |40.0% |0.0% |0.0% |0.0% | |
|Emotional Behavioral Disability |0.0% |0.0% |0.0% |0.0% |100.0% | |
|Orthopedic Impairment |0.0% |100.0% |0.0% |0.0% |0.0% | |
|Other Health Impairment |28.6% |0.0% |14.3% |57.1% |0.0% | |
|Significant Developmental Delay |33.3% |25.0% |16.7% |12.5% |12.5% | |
|Speech or Language Impairment |5.2% |7.8% |6.5% |40.3% |40.3% | |
| | | | | | | |
|Outcome 3 |2 |3 |4 |5 |6 |7 |
|Cognitive Disability |40.0% |60.0% |0.0% |0.0% |0.0% |0.0% |
|Emotional Behavioral Disability |0.0% |0.0% |33.3% |66.7% |0.0% |0.0% |
|Orthopedic Impairment |0.0% |100.0% |0.0% |0.0% |0.0% |0.0% |
|Other Health Impairment |14.3% |14.3% |0.0% |28.6% |42.9% |0.0% |
|Significant Developmental Delay |4.2% |18.8% |20.8% |37.5% |18.8% |0.0% |
|Speech or Language Impairment |0.0% |1.3% |5.2% |16.9% |28.6% |48.1% |
Discussion Questions:
1. What do you notice about your local data?
2. What stands out as a possible ‘red flag’?
3. What might you infer about the data?
4. What additional questions does it raise?
5. What next steps might you take?
3. Comparison of Entry Ratings Across Outcomes by CESA
Predicted Pattern: Functioning at entry in one outcome is related to functioning at entry in the other outcome. For cross tabulations we would expect most cases to be in the diagonal and the other to be clustered on either side of the diagonal.
Entry cross tabulations (OC1 by OC2)
| |Outcome 2 |
|Outcome 1 | |
|Outcome 2 | |
|Outcome 1 | |
|Outcome 1 | |
|Entry | |
|Outcome 2 | |
|Entry | |
Outcome 3 Entry | |1 |2 |3 |4 |5 |6 |7 | | |1 |3 |3 |1 |1 |1 |1 | | | |2 | | |3 |2 |4 |1 |2 | | |3 | |1 | |2 |3 |5 |6 | | |4 | | | |2 |3 |9 |6 | | |5 | | | |1 |5 |7 |13 | | |6 | | | |1 |1 |2 |21 | | |7 | | | | | |4 |32 | |
Discussion Questions:
1. What do you notice about your CESA-wide data?
2. What stands out as a possible ‘red flag’?
3. What might you infer about the data?
4. What additional questions does it raise?
5. What next steps might you take?
5. State 11-12 Entry Distribution by Race/Ethnicity
Predicted Pattern: If children across race/ethnicity categories are expected to achieve similar outcomes, there should be no difference in distributions across race/ethnicity.
Entry ratings by race/ethnicity: Outcome 1
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Entry ratings by race/ethnicity: Outcome 2
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Entry ratings by race/ethnicity: Outcome 3
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6. State 11-12 Exit Rating Distribution
Predicted Pattern: At exit there will be a few children with very high or very low numbers.
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Discussion Questions:
1. What do you notice about your State-wide data?
2. What stands out as a possible ‘red flag’?
3. What might you infer about the data?
4. What additional questions does it raise?
5. What next steps might you take?
7. Progress Category Comparison CESA/State
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Discussion Questions:
1. What do you notice about your CESA-wide data?
2. What stands out as a possible ‘red flag’?
3. What might you infer about the data?
4. What additional questions does it raise?
5. What next steps might you take?
8. Summary Statement #1 & #2 by CESA/State
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9. State Summary Statement Target Graphs
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