Punching above expectationFull briefing
Which Title I dollars actually moved the needle?
The longer form of the briefing for this story: the original thesis, the supporting findings the data team flagged, and the reporting directions a journalist could follow. For the short version and the data analysis, see the main story page.
Thesis
NYC distributes federal Title I funding to high-poverty schools. By cross-referencing per-pupil spending with proclivity-adjusted outcomes, we can identify which schools get Title I money AND outperform expectations — and which don't. Not a 'gotcha' on spending, but a how-effective-is-the-money piece.
Supporting findings
- Need: NYC DOE Galaxy or School Allocation Memos (SAM) data on per-pupil spending — not in our DB yet.
- Once joined, plot per-pupil spend × outcome residual (residual = actual - predicted-by-proclivity).
- Identify the top-right quadrant: high spend + high residual = effective dollar.
- Identify the bottom-right: high spend + negative residual = where money isn't moving.
- Title I funding formulas favor concentration — schools with the most need get the most $.
- Across schools matched on demographics, does an extra $1,000/student translate to measurable outcome lift?
- Cross-reference with Renewal Schools (2014-2019) — billions spent, outcomes mixed.
- Look at single-year vs multi-year funding stability — do schools that got steady $ outperform those with feast-or-famine?
- Survey teachers at high-spend low-outcome schools — what isn't working?
- Compare with Massachusetts' weighted student funding research (Berkeley + MIT papers).
Reporting directions
- Ingest NYC DOE School Allocation Memo data (Galaxy budget extracts).
- Build per-pupil-spend × residual scatter, highlight high-Title-I districts.
- Interview Sean Reardon (Stanford) on best-practices for matched-funding analysis.
- Compare with NYC's 'Fair Student Funding' policy effects.