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) · associationalr3·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¶
Related Claims¶
- 5Essentials Survey measures predict school improvement in elementary and high schools, but not all measures relate to all outcomes — related
- Elementary attendance improved more in schools that were strong or growing on 5Essentials Survey measures, in both pooled and within-school models — related
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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