Claims

The study used two sets of analyses—rating stability and the stable component's link to future contributions—to simulate each measure's predictive accuracy

Claim · All claims
Evidence · 1 study · associational r2 · q2
Currency · newest study 2016 · checked against its sources 2026-10-20 (automated, 1 of 1 entry) · 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? The study assessed the stability of each measure's ratings by examining associations between earlier- and later-year ratings, and examined the relationship between the stable part of each rating and future contributions, then simulated predictive accuracy. → Hanley Chiang 2016

Evidence

Hanley Chiang 2016

Hanley Chiang, Moira McCullough, Stephen Lipscomb, Brian Gill. (2016). Performance Measures Based on Test Scores – How Well Do They Predict Principals' Impacts? (In Focus Brief). Cambridge, MA: Mathematica Policy Research. https://www.mathematica.org/publications/performance-measures-based-on-test-scores-issue-brief

q2 · i? · associational · r2

The brief describes its two sets of analyses: rating stability across years, and the relationship between "the stable part of each principal's rating" and future contributions. Results from both fed a simulation of each measure's accuracy for predicting the following year's contributions.

"First, the study assessed the extent to which ratings from each measure are stable by examining the association between principals' ratings from earlier and later years. Second, the study examined the relationship between the stable part of each principal's rating and his or her contributions to student achievement in future years."

Discussion

Page metadata
Field Value
type claim
id two-analysis-approach-principal-measure-accuracy
title The study used two sets of analyses—rating stability and the stable component's link to future contributions—to simulate each measure's predictive accuracy
description The study used two sets of analyses—rating stability and the stable component's link to future contributions—to simulate each measure's predictive accuracy
status review
evidence_strength moderate
newest_evidence 2016
source_checked 2026-10-20
generated by process:wiki-ingest on 2026-10-08
trust unverified — no one has confirmed this page's content
sources 1 — hanley-chiang-2016

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