Claims

Bayesian analysis finds substantial evidence for gender similarities in neural maturity in most of the brain, with fewer than 1% of voxels supporting gender differences

Claim · All claims
Evidence · 1 study · associational r2 · q3
Currency · newest study 2019 · not yet checked against its sources · not reviewed by a person · overdue for a recheck since 2024: baselines and conditions change

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? Bayes factors provided substantial support for gender similarities across most voxels; 0.8% of voxels showed substantial or strong evidence of gender differences, and no cortical regions supported greater neural maturity in boys. → Kersey 2019

Evidence

Kersey 2019

Kersey, A. J., Csumitta, K. D., & Cantlon, J. F. (2019). Gender similarities in the brain during mathematics development. npj Science of Learning 4:19. https://doi.org/10.1038/s41539-019-0057-x

q3 · i? · associational · r2

Whole-brain Bayes Factor analysis with a Cauchy prior width of 0.707, complementing the frequentist analyses of the same 104-child fMRI dataset. The article reports that "Less than 1% of voxels (0.8%)" supported gender differences and 23.6% of voxels supported neither hypothesis.

"Less than 1% of voxels (0.8%) showed substantial or strong (B10 > 10) evidence of gender differences (Fig. 1b; 23.6% voxels did not substantially support either similarities or differences in the Bayesian analysis)."

Discussion

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