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Core Feature

Cohort Analysis

Students with 2+ consecutive years at your school outperform transfers. Prove it with statistically rigorous data.

What is Cohort Analysis?

Charter school authorizers often ask: "Is your school actually improving outcomes, or just attracting higher-performing students?"

2+
Primary Group

Cohort Students

Students with 2+ consecutive years at your school with gaps of ≤180 days between enrollments.

n=245
These students have had time to fully experience your program.
<2
Comparison Group

Non-Cohort Students

Students who transferred in recently or had significant gaps in enrollment.

n=87
Their performance reflects multiple schools' influence.
180d

Gap Tolerance

Allows for summer breaks while excluding long transfers

Statistically Rigorous Methods

Research-accepted methods that authorizers and evaluators trust.

Cohen's d Effect Size

Measures the magnitude of difference between cohort and non-cohort groups in standardized units.

d = (Cohort Mean - Non-Cohort Mean) / Pooled SD
d =0

Cohen's d Effect Size

Small
Small-Medium
Medium-Large
Large

Mann-Whitney U Test

A non-parametric test that determines whether the difference between groups is statistically significant.

Why non-parametric? Educational data often isn't normally distributed. Mann-Whitney U is robust to skewed distributions and outliers.

p < 0.05Statistically significant
p < 0.01Highly significant

Authorizer-Ready Reports

Reports designed for authorizer presentations and board meetings.

Metric
Cohort (n=245)
Non-Cohort (n=87)
Difference
Mean SCGP (Math)
0
0
+11.1
Mean SCGP (Reading)
0
0
+5.8
Cohen's d (Combined)
0.62
Mann-Whitney U p-value
p < 0.01

Interpretation

Cohort students show a medium-to-large effect size advantage (d = 0.62) in growth over non-cohort peers. This difference is highly statistically significant (p < 0.01), indicating the school's program adds measurable value for students who remain enrolled for 2+ years.

When to Use Cohort Analysis

Charter Reauthorization

Present defensible evidence of your school's value-add to authorizers during renewal reviews.

Board Reporting

Give your board statistically rigorous data on program effectiveness, not just anecdotes.

Grant Applications

Demonstrate measurable impact when applying for competitive education grants.

Program Evaluation

Compare cohort performance across different programs, campuses, or grade bands.

Cohort Analysis Insights

Learn more about measuring and demonstrating school value-add

Growth Trajectories and On-Track Indicators: Predicting Long-Term Success
Student Growth13 min
Where a student is today matters less than where they're headed. Growth trajectories reveal whether students are on track for future success—while there's still time to intervene.
Dr. Emily Rodriguez
Growth Metrics in School Accountability Systems: Balancing Rigor and Fairness
Student Growth14 min
39 states now include growth measures in school accountability. Here's how these systems work, why they matter for equity, and how to interpret school-level growth ratings.
Marcus Johnson
Closing Achievement Gaps Through Accelerated Growth: What the Research Tells Us
Student Growth15 min
Achievement gaps don't close through typical growth. Understanding the math of gap-closing—and the interventions that produce above-average growth—is essential for equity.
Dr. Emily Rodriguez
Beyond Proficiency: Understanding Student Growth Models and Why They Matter
Student Growth14 min
Proficiency tells us where students are. Growth tells us how far they've come. Learn why 39 states now mandate growth measures and how to interpret them meaningfully.
Marcus Johnson

Ready to Prove Your School's Value-Add?

See how cohort analysis can help you demonstrate impact to your authorizer, board, and community.