The overall gender difference across the six graphical languages is statistically significant after controlling for non-verbal ability¶
Claim · All claims
Evidence · 1 study · associationalr2·q3·i3large
Currency · newest study 2010 · 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 i3 A repeated measures multivariate ANCOVA revealed a significant gender difference across the six graphical languages (partial η2 = .15), with Raven's score a significant covariate (partial η2 = .50). → Lowrie 2010
Evidence¶
Lowrie 2010¶
Lowrie, Tom and Diezmann, Carmel. (2010). Solving graphics tasks: Gender differences in middle-school students. Learning and Instruction. https://doi.org/10.1016/j.learninstruc.2009.11.005
q3 · i3 · associational · r2
Omnibus repeated measures MANCOVA on pooled GLIM decoding scores with gender as between-subjects factor, the six graphical languages as within-subjects factor, and Raven's test as covariate. The analysis "revealed statistically significant differences between the performance of boys and girls across the six graphical languages" (partial η2 = .15) and a strong covariate effect (partial η2 = .50).
"A repeated measures multivariate analysis of covariance with gender as be tween subjects factor , the six graphical languages as within subjects f actor and score on Raven’s test as co variate revealed statistically significant differences between the performance of boys and girls across the six graphical languages, F (6, 309) = 9.37, p < .001, partial η2 = .15, with a significant effect for the covariate, F (6, 309) = 50.47, p < .001, partial η2 = .50."
Discussion¶
Learner Variables¶
- Gender — predictor: outcomes differ by group: a gap reflecting circumstances and treatment, not a cause
Related Claims¶
- Boys outperform girls on graphics tasks classified as Axis and Map graphical languages — a narrower finding that bears on this claim
- The gender gap in graphics decoding remained stable over three years, with no gender-by-year interaction — related
Page metadata
| Field | Value |
|---|---|
type |
claim |
id |
gender-main-effect-six-graphical-languages |
title |
The overall gender difference across the six graphical languages is statistically significant after controlling for non-verbal ability |
description |
The overall gender difference across the six graphical languages is statistically significant after controlling for non-verbal ability |
status |
review |
evidence_strength |
moderate |
newest_evidence |
2010 |
generated |
by process:wiki-ingest on 2026-10-22 |
trust |
unverified — no one has confirmed this page's content |
sources |
1 — lowrie-2010 |
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