Idea unit standards do not enhance judgment accuracy in evaluating self-generated examples¶
Claim · All claims
Evidence · 1 study · causalr2·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? Idea unit standards showed no statistically significant main effect on bias, absolute accuracy, or relative accuracy, conceptually replicating Zamary et al. (2016). → Linda Froese 2022
Evidence¶
Linda Froese 2022¶
Linda Froese, Julian Roelle. (2022). Expert example standards but not idea unit standards help learners accurately evaluate the quality of self-generated examples. Metacognition and Learning. https://doi.org/10.1007/s11409-022-09293-z
q3 · i? · causal · r2
In the N = 131 factorial experiment, the ANOVA on overall bias found no significant main effect of idea unit standards; the article reports the same null pattern for absolute accuracy and relative accuracy, with no printed effect size for the null findings.
"In terms of overall bias, a 2×2-factorial ANOVA revealed no statistically significant main effect for idea unit standards, F(1, 127) < 0.01, p = .977, ηp2 < .01."
Discussion¶
Related Claims¶
- Providing expert example standards enhances absolute judgment accuracy in evaluating self-generated examples — related
- Providing expert example standards reduces bias in learners' evaluations of self-generated examples — related
- Benefits of expert example standards depend on example quality: largest for incorrect examples, absent for correct ones — related
- Expert example standards did not significantly enhance relative accuracy in evaluating self-generated examples — possibly the same claim (merge candidate)
- Expert example standards improve university students' judgment accuracy (bias, absolute accuracy, and relative accuracy) when evaluating self-generated examples — related
- Learners are substantially overconfident when evaluating the quality of their self-generated examples — related
- Negative example standards do not reliably improve judgment accuracy and significantly decrease relative accuracy in evaluating self-generated examples — related
Page metadata
| Field | Value |
|---|---|
type |
claim |
id |
idea-unit-standards-ineffective-example-generation |
title |
Idea unit standards do not enhance judgment accuracy in evaluating self-generated examples |
description |
Idea unit standards do not enhance judgment accuracy in evaluating self-generated examples |
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 — linda-froese-2022 |
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