Claims

The think-aloud measure predicts word problem solving performance, explaining 33 percent of variance

Claim · All claims
Evidence · 1 study · associational r1 · q2 · i3 large
Currency · newest study 2012 · checked against its sources 2026-10-23 (automated, 1 of 1 entry) · not reviewed by a person · overdue for a recheck since 2015: 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.

q2 i3 The think-aloud measure correlated r = .57 with word problem solving and explained 33 percent of variance in performance. → Jacobse 2012

Evidence

Jacobse 2012

Jacobse, A. E., & Harskamp, E. G. (2012). Towards efficient measurement of metacognition in mathematical problem solving. Metacognition and Learning. https://doi.org/10.1007/s11409-012-9088-x

q2 · i3 · associational · r1

Think-aloud protocols of two multistep word problems were scored with a systematical observation scheme (interrater reliability κ=0.95); in the grade 5 sample (n=39) the measure correlated r = .57 with the problem solving test and "explains a total of 33 percent of the variance in mathematics performance."

"In our study, the think-aloud measure explains a total of 33 percent of the variance in mathematics performance, which is comparable to the predictive validity reported in other studies with think-aloud measures"

Discussion

Page metadata
Field Value
type claim
id think-aloud-measure-predicts-problem-solving
title The think-aloud measure predicts word problem solving performance, explaining 33 percent of variance
description The think-aloud measure predicts word problem solving performance, explaining 33 percent of variance
status review
evidence_strength moderate
newest_evidence 2012
source_checked 2026-10-23
recheck_by 2015
generated by process:wiki-ingest on 2026-10-19
trust unverified — no one has confirmed this page's content
sources 1 — jacobse-2012

Frontmatter is the page's machine-readable record — see the Schema & Guide.