Claims

Text topic moderates judgment bias: the CLT text produced higher overconfidence for application performance than the CVT text

Claim · All claims
Evidence · 1 study · causal r2 · q3 · i2 medium
Currency · newest study 2024 · 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 i2 In Experiment 1 preparatory analyses, the CLT text yielded higher overconfidence for application test performance than the CVT text (d = 0.54). → Knellesen 2024

Evidence

Knellesen 2024

Knellesen, J., Händel, M., & Golke, S. (2024). Effects of reading instructions on pre-service teachers' judgment bias when learning from texts. Metacognition and Learning. https://doi.org/10.1007/s11409-023-09371-w

q3 · i2 · causal · r2

Preparatory analysis of Experiment 1 comparing text topics: the analysis "revealed a significant effect of text topic", with the CLT text showing "higher overconfidence for application test performance" than the CVT text (printed ΔM = 10.10, t(128) = 3.07, p = .003, d = 0.54). All subsequent analyses were therefore conducted per text.

"and higher overconfidence for application test performance, /u1D6E5M = 10.10, 95% CI [3.60, 16.61]; t(128) = 3.07, p = .003, d = 0.54, compared to the CVT text."

Discussion

Page metadata
Field Value
type claim
id text-topic-moderates-application-overconfidence
title Text topic moderates judgment bias: the CLT text produced higher overconfidence for application performance than the CVT text
description Text topic moderates judgment bias: the CLT text produced higher overconfidence for application performance than the CVT text
status review
evidence_strength moderate
newest_evidence 2024
generated by process:wiki-ingest on 2026-10-19
trust unverified — no one has confirmed this page's content
sources 1 — knellesen-2024

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