Great Lakes Charter Network Proves Value-Add with Cohort Data
Key Results
0.6 SD
Cohort Advantage
Effect size difference in SCGP growth between cohort and non-cohort students
p < 0.01
Statistical Significance
Confidence level that the difference is not due to chance
5 years
Charter Renewal
Full reauthorization term granted by the authorizer
The Challenge
The network's authorizer questioned whether their schools were actually improving student outcomes or simply attracting higher-performing students. The network needed defensible data to prove their value-add during reauthorization.
The Solution
AcumenEd's Cohort Analysis compared SCGP growth between students with 2+ consecutive years (cohort) versus students who transferred in (non-cohort). The statistical analysis used Cohen's d effect sizes and significance testing to demonstrate the network's impact.
“Our authorizer told us this was the most compelling value-add analysis they'd ever seen from a charter network. We got a full five-year renewal.”
Dr. Maria Santos
Superintendent
Results in Detail
0.6 SD
Cohort Advantage
Effect size difference in SCGP growth between cohort and non-cohort students
p < 0.01
Statistical Significance
Confidence level that the difference is not due to chance
5 years
Charter Renewal
Full reauthorization term granted by the authorizer
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