Claims

The benefits of rubrics on self-assessment accuracy do not depend on the inferential level of the assessment criteria

Claim · All claims
Evidence · 1 study · causal r2 · q3
Currency · newest study 2022 · 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.

q3 i? No significant condition × inferential-level interaction emerged for absolute accuracy or bias, so Hypothesis 3 was rejected. → Rebecca Krebs 2022

Evidence

Rebecca Krebs 2022

Rebecca Krebs, Björn Rothstein, Julian Roelle. (2022). Rubrics enhance accuracy and reduce cognitive load in self-assessment. Metacognition and Learning. https://doi.org/10.1007/s11409-022-09302-1

q3 · i? · causal · r2

Mixed repeated-measures ANOVA with condition as between-subjects factor and inferential level (low vs. high) as within-subjects factor. "no statistically significant interaction between condition and inferential level"; the same held for bias.

"there was also no statistically significant interaction between condition and inferential level, F(1, 90) = 2.41, p = 0.124, ηp2 = 0.02, which indicates that the effects on absolute accuracy did not (substantially) depend on the inferential level of the criteria."

Discussion

Page metadata
Field Value
type claim
id rubric-benefits-independent-of-inferential-level
title The benefits of rubrics on self-assessment accuracy do not depend on the inferential level of the assessment criteria
description The benefits of rubrics on self-assessment accuracy do not depend on the inferential level of the assessment criteria
status review
evidence_strength moderate
newest_evidence 2022
generated by process:wiki-ingest on 2026-10-18
trust unverified — no one has confirmed this page's content
sources 1 — rebecca-krebs-2022

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