The regression model significantly predicts metacognitive sensitivity but explains a small proportion of variance (R² = 0.079)¶
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Evidence · 1 study · associationalr2·q3
Currency · newest study 2024 · not yet checked against its sources · not reviewed by a person · recheck by 2027: tool and model accuracy changes quickly
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? The overall multiple regression model significantly predicted metacognitive sensitivity (F(4,123) = 2.637, p < .05, R² = 0.079). → Terneusen 2024
Evidence¶
Terneusen 2024¶
Terneusen, A., Quaedflieg, C., van Heugten, C., Ponds, R., & Winkens, I. (2024). The many facets of metacognition: comparing multiple measures of metacognition in healthy individuals. Metacognition and Learning. https://doi.org/10.1007/s11409-023-09350-1
q3 · i? · associational · r2
Omnibus result of the multiple regression in the 128-participant online study. The article reports "F(4,123) = 2.637, p < .05,R2 = 0.079"; R² is variance explained from a regression model, so no standardized effect size is claimed.
"The multiple regression model significantly predicted metacognitive sensitivity (F(4,123) = 2.637, p < .05,R2 = 0.079, see Table 2)."
Discussion¶
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Page metadata
| Field | Value |
|---|---|
type |
claim |
id |
regression-model-small-variance-metacognitive-sensitivity |
title |
The regression model significantly predicts metacognitive sensitivity but explains a small proportion of variance (R² = 0.079) |
description |
The regression model significantly predicts metacognitive sensitivity but explains a small proportion of variance (R² = 0.079) |
status |
review |
evidence_strength |
moderate |
newest_evidence |
2024 |
recheck_by |
2027 |
generated |
by process:wiki-ingest on 2026-10-19 |
trust |
unverified — no one has confirmed this page's content |
sources |
1 — terneusen-2024 |
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