Stanford analysis finds higher concentrations of African American, Latino and Pacific Islander students linked to lower school effectiveness; board debates how—

Steve Newton, a doctoral student at Stanford University, told the San Francisco Board of Education that his team’s analysis shows schools with high concentrations of African American, Latino and Pacific Islander students have been, on average, less effective at raising student achievement than other district schools.

“Racial concentration reduces school effectiveness for historically underserved students,” Newton said near the end of his presentation, summarizing results that used value‑added matrix gaps, productivity measures and propensity score matching to control for student background.

The researchers reported several findings: schools with higher concentrations of those student groups tended to have lower average achievement and related school‑quality measures (lower API scores, higher suspension and mobility, and lower attendance); schools that rose above about 60% concentration on the AALS measure tended to show lower value‑added; and concentrated schools were associated with lower graduation rates (11% lower in 2007–08 after controlling for poverty) and higher student mobility (about 3.8% higher).

Newton and colleagues also identified workforce patterns that may help explain the gap. Concentrated schools had less experienced teachers on average (about 10.3 years versus 13.4) and a higher share of first‑ and second‑year teachers (3.7% vs. 2.1%). The presenter cautioned the teacher data were imperfect and said these differences may reflect conditions at the schools rather than teacher ability alone.

Board members focused questions on methodology and policy implications. Commissioners pressed researchers to explain the practical meaning of small annual value‑added differences (the presentation used measures expressed in standard deviations, e.g., –0.04), statistical confidence and how poverty and racial composition interact. Ritu Khanna and Newton described the matching approach and reported p‑values indicating high statistical confidence for many comparisons.

Several commissioners said student assignment must be treated as one lever among several. Commissioner Winns and others urged pairing assignment changes with investments in leadership, coherent curriculum and professional development — factors Stanford’s case studies flagged as common in higher‑performing, high‑concentration schools.

Staff outlined the next procedural steps: Stanford will present simulation summaries at an ad hoc meeting on January 25; a Committee of the Whole meeting is scheduled for February 2 to review qualitative findings; a first reading of a redesigned student assignment policy is anticipated on February 9, with possible final approval on March 9. No formal board action or vote on student assignment occurred at this meeting.

Public commenters urged caution about sweeping changes to choice policies. One parent said eliminating choice could drive families with means to private schools; another urged giving neighborhood students priority and minimizing travel burdens.

The presentation and the board’s response leave open several questions for staff and the board: which student assignment model (choice, area/proximity, zone) best advances the district’s stated goal of reducing racial isolation while minimizing harmful side effects; which supports (leadership, staffing, curriculum) should be targeted to schools identified as most at risk; and how to present simulation trade‑offs to the public as the process proceeds.