Claims

Base strength predicted outcome improvement better than growth in aggregate, and pooled regression estimates exceeded school fixed effects estimates

Claim · All claims
Evidence · 1 study (2 entries) · associational r3 · q2
Currency · newest study 2020 · not yet checked against its sources · not reviewed by a person

Subclaims

Reading the evidence codes

q is the design tier, i the impact, n the sample, and the kind with its r the rigour judged within that kind: what each code means.

This claim: no standardized effect is recorded in observations/ for it yet, so no benchmark reading is possible.

q2 i? Most outcome improvement was, in aggregate, better predicted by strength in a measure coming into the school year than by growth during the year. → Hart 2020 q2 i? Measures generally predicted larger outcome changes in the pooled regression model than in the more conservative school fixed effects model. → Hart 2020 (2)

Evidence

Hart 2020

Hart, H., Young, C., Chen, A., Zou, A., & Allensworth, E.M. (2020). Supporting school improvement: Early findings from reexamination of the 5Essentials survey. Chicago, IL: University of Chicago Consortium on School Research. https://consortium.uchicago.edu/publications/supporting-school-improvement

q2 · i? · associational · r3

Results overview comparing base strength and growth predictors across outcomes. The report gives the example that "base strength in Student-Teacher Trust predicted improvement in college enrollment better than growth in Student-Teacher Trust."

"We also observed that most outcome improvement was, in aggregate, better predicted by having strength in a measure coming into the school year, rather than by growing over the school year in question."

Hart 2020 (2)

Hart, H., Young, C., Chen, A., Zou, A., & Allensworth, E.M. (2020). Supporting school improvement: Early findings from reexamination of the 5Essentials survey. Chicago, IL: University of Chicago Consortium on School Research. https://consortium.uchicago.edu/publications/supporting-school-improvement

q2 · i? · associational · r3

Comparison of the two statistical models. The report explains the pooled regression is a more liberal test while the fixed effect model is more conservative, since schools with consistent measure scores and outcome growth contribute no within-school variation to estimate.

"In general, measures predicted a larger change in outcomes in the pooled regression model than the fixed effects model."

Discussion

Page metadata
Field Value
type claim
id base-strength-predicts-improvement-better-than-growth
title Base strength predicted outcome improvement better than growth in aggregate, and pooled regression estimates exceeded school fixed effects estimates
description Base strength predicted outcome improvement better than growth in aggregate, and pooled regression estimates exceeded school fixed effects estimates
status review
evidence_strength moderate
newest_evidence 2020
generated by process:wiki-ingest on 2026-10-09
trust unverified — no one has confirmed this page's content
sources 2 — hart-2020, hart-2020-2

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