Prior mathematical accuracy is the dominant propensity factor: over half of January accuracy variance and under one-fifth of fluency variance predicted June performance¶
Claim · All claims
Evidence · 1 study · associationalr?·q3
Currency · newest study 2019 · 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? More than half of the variance in January accuracy and less than one-fifth of the variance in January fluency predicted children's mathematics performances in June. → Desoete 2019
Evidence¶
Desoete 2019¶
Desoete, A., Baten, E., Vercaemst, V., De Busschere, A., Baudonck, M., & Vanhaeke, J. (2019). Metacognition and motivation as predictors for mathematics performance of Belgian elementary school children. ZDM Mathematics Education, 51, 667–677. https://doi.org/10.1007/s11858-018-01020-w
q3 · i? · associational · r?
Longitudinal January–June testing of Belgian elementary children. The abstract states "More than half of the variance in accuracy" in January predicted June performance, highlighting the importance of prior mathematical accuracy; no standardized effect size is printed.
"More than half of the variance in accuracy and less than one-fifth of the variance in fluency in January predicted the performances of children for mathematics in June"
Discussion¶
Related Claims¶
- Mathematical accuracy and fluency have overlapping yet different predictors, supporting attention to both aspects in mathematics teaching — a broader claim this one bears on
- Using performance on each individual question as features yields only a small improvement over a single-ability logistic regression model — related
- Cluster profiles of student mathematics performance are dominated by overall ability, with most clusters being linear rescalings of average exam performance — related
- Integrated models combining mathematical and motivational propensities significantly explain algebra performance — related
Page metadata
| Field | Value |
|---|---|
type |
claim |
id |
prior-math-accuracy-dominant-propensity-factor |
title |
Prior mathematical accuracy is the dominant propensity factor: over half of January accuracy variance and under one-fifth of fluency variance predicted June performance |
description |
Prior mathematical accuracy is the dominant propensity factor: over half of January accuracy variance and under one-fifth of fluency variance predicted June performance |
status |
review |
evidence_strength |
moderate |
newest_evidence |
2019 |
generated |
by process:wiki-ingest on 2026-10-17 |
trust |
unverified — no one has confirmed this page's content |
sources |
1 — desoete-2019 |
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