Explore how attendance, community adult BA+ rates, and income interact in a weighted school-level model.
Scope note: this tool currently runs the income-based specification. Poverty-aware companion analyses are published in Evidence Lab findings.
Model in use: student-weighted linear regression with pairwise interactions (Education x Attendance, Education x Income, Attendance x Income), with 95% uncertainty intervals for scenario and delta. Student weights use ODE's Scored Performance Denominator.
Historical data note: the 2018-19 Math option is a legacy comparison profile with fewer available fields than the current releases. Its model inputs pass bounded denominator, proficiency-rate, and grade-attendance checks, but it has not yet received comprehensive historical release certification.
Interpretation note: this simulator is associational, not causal. It reflects patterns in aggregated school data.
Open the Simulation Lab
Use the button below to load the interactive tool.
Each view shows the same evidence-based statistical model of associations, with different visual emphasis on how education, attendance, and income relate to predicted test outcomes.
Curves show predicted outcome versus education, with separate lines for low/median/high attendance. The income slider shifts all lines, so you can examine three-way interactions across education, attendance, and income.
Color scale range: —
Tip: in heatmap mode, click a point to set scenario education/attendance.
Rows used i
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Scored students i
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Baseline prediction i
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Scenario prediction i
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Scenario delta i
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Local sensitivity i
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Uncertainty (95% CI) i
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Confidence intervals reflect model-estimate uncertainty from aggregated school data; they are not individual-level prediction bounds and do not imply causality.