Claims

The value-added models used for Oklahoma's spring 2016 results were updated relative to prior years

Claim · All claims
Evidence · 1 study · associational r? · q2
Currency · newest study 2016 · not yet checked against its sources · not reviewed by a person · overdue for a recheck since 2019: local conditions change quickly

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? The brief describes updates to the value-added models that produced the results distributed in spring 2016. → Albert Y. Liu 2016

Evidence

Albert Y. Liu 2016

Albert Y. Liu, Elias Walsh, Dallas Dotter. (2016). Measuring Teacher and School Value Added in Oklahoma, Spring 2016. Oakland, CA: Mathematica Policy Research. https://www.mathematica.org/publications/measuring-teacher-and-school-value-added-in-oklahoma-spring-2016

q2 · i? · associational · r?

The brief announces that it "describes updates to the value-added models" used for the spring 2016 results, indicating the models changed from prior-year versions. The supplied text does not print the specific updates or any comparative statistics.

"It also describes updates to the value-added models that were used to produce the results distributed in spring 2016."

Discussion

Page metadata
Field Value
type claim
id value-added-model-updates-spring-2016
title The value-added models used for Oklahoma's spring 2016 results were updated relative to prior years
description The value-added models used for Oklahoma's spring 2016 results were updated relative to prior years
status review
evidence_strength weak
newest_evidence 2016
recheck_by 2019
generated by process:wiki-ingest on 2026-10-08
trust unverified — no one has confirmed this page's content
sources 1 — albert-y-liu-2016

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