Oregon School Assessment

Why "Poverty" Outpredicts Income in Our Proficiency Models

Published analysis report from Evidence Lab artifacts.

Why "Poverty" Outpredicts Income in Our Proficiency Models

Short answer
Both statements can be true at once:
- Income and poverty are strongly related.
- Poverty can still be the better predictor of proficiency.

Plain-language explanation
1) Income and poverty overlap, but they are not the same signal.
- In our school-level data, per-capita income and Students Experiencing Poverty are strongly related, but far from identical.
- Across ELA, Math, and Science, the scored-student-weighted correlation is about -0.65 to -0.66 for per-capita income and -0.60 to -0.62 for median household income.
- Even a correlation of -0.66 implies shared variance of about 44%, leaving substantial non-overlap.

2) The two measures are not equally close to the students being tested.
- Students Experiencing Poverty is a school-population hardship/composition measure.
- ACS per-capita income is a tract-level mean for all residents around a school.
- A measure tied to enrolled students usually tracks school outcomes more directly.

3) Per-capita income is a mean and can be skewed.
- High earners can raise tract mean income even when many enrolled students face hardship.
- That weakens income as a direct proxy for school hardship burden.

4) Poverty captures hardship channels more directly linked to learning disruption.
- ODE's poverty field reflects student hardship categories (for example SNAP/TANF eligibility, foster care, houselessness, migrant status).
- Those conditions can affect attendance continuity, stress load, and day-to-day school access.

5) The model results match this interpretation.
- In ordinary-school five-fold cross-validation tests, all outcomes and weights use students with reported Level 1-4 results:
  - ELA:
    - BA+ + Attendance + Median Household Income: 0.5152
    - BA+ + Attendance + Poverty: 0.6516
    - BA+ + Attendance + Median Household Income + Poverty: 0.6622
  - Math:
    - BA+ + Attendance + Median Household Income: 0.6394
    - BA+ + Attendance + Poverty: 0.6750
    - BA+ + Attendance + Median Household Income + Poverty: 0.6762
  - Science:
    - BA+ + Attendance + Median Household Income: 0.3803
    - BA+ + Attendance + Poverty: 0.5072
    - BA+ + Attendance + Median Household Income + Poverty: 0.5188

Interpretation
- Income remains useful as broad community context.
- Poverty appears to carry more independent school-level signal for proficiency.
- Concise framing:
  "Income and poverty both matter, but poverty is a closer measure of student hardship and therefore a stronger predictor in this model framework."
- Plain-language formulation:
  "Per-capita income is a neighborhood-wide average for everyone living in the school's tract, while the poverty measure reflects hardship among students actually enrolled in the school."

Caution
- These are school-level observational associations, not causal proof.
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