Claims

Validity coefficients with external criteria provide a lower bound for a test's reliability

Claim · All claims
Evidence · 1 study · theoretical r3 · q2
Currency · newest study 2025 · 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? Because a strong correlation with external criteria implies low random measurement error, reliability cannot be lower than validity, so validity indices can estimate a lower bound for reliability. → Peter A. Edelsbrunner 2025

Evidence

Peter A. Edelsbrunner 2025

Peter A. Edelsbrunner, Bianca A. Simonsmeier, Michael Schneider. (2025). The Reliability, But Not the Cronbach's Alpha, of Knowledge Tests Matters: Response to Zitzmann and Orona (2025). Educational Psychology Review. https://doi.org/10.1007/s10648-025-10023-5

q2 · i? · theoretical · r3

The commentary proposes, citing Anastasi and Urbina (1997), that researchers can use a test's correlations with external criteria to estimate a lower bound for reliability, since "the reliability cannot be lower than the validity."

"The reliability cannot be lower than the validity (Anastasi & Urbina, 1997)."

Discussion

Page metadata
Field Value
type claim
id validity-lower-bound-reliability
title Validity coefficients with external criteria provide a lower bound for a test's reliability
description Validity coefficients with external criteria provide a lower bound for a test's reliability
status review
evidence_strength weak
newest_evidence 2025
generated by process:wiki-ingest on 2026-10-22
trust unverified — no one has confirmed this page's content
sources 1 — peter-a-edelsbrunner-2025

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