Claims

Gender-interest stereotypes favoring boys in computer science and engineering are endorsed across grades 1–12 and across racial/ethnic groups in a diverse sample

Claim · All claims
Evidence · 1 study (2 entries) · associational r2 · q3 · i2 medium
Currency · newest study 2021 · not yet checked against its sources · not reviewed by a person · recheck by 2026: 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 i2 Students in grades 1–12 endorsed gender-interest stereotypes favoring boys in engineering (d = 0.73) and computer science (d = 0.44), including first graders for engineering (d = 0.71). → Master 2021 q3 i? Black, Asian, Latinx, and White girls and boys all endorsed gender-interest stereotypes favoring boys for both fields (all Ps < 0.03). → Master 2021 (2)

Evidence

Master 2021

Master, A., Meltzoff, A. N., & Cheryan, S. (2021). Gender stereotypes about interests start early and cause gender disparities in computer science and engineering. Proceedings of the National Academy of Sciences, 118(48), e2100030118. https://doi.org/10.1073/pnas.2100030118

q3 · i2 · associational · r2

Preregistered survey of 1,544 students in grades 1–12 in six Rhode Island schools (43% free/reduced-price lunch). The article reports endorsement "in computer science, t(1,531) = 17.16, P < 0.001, and d = 0.44, and engineering, t(1,529) = 28.47, P < 0.001, and d = 0.73", with engineering endorsement present in first grade (d = 0.71).

"Students endorsed gender-interest stereotypes favoring boys in computer science, t(1,531) = 17.16, P < 0.001, and d = 0.44, and engineering, t(1,529) = 28.47, P < 0.001, and d = 0.73"

Master 2021 (2)

Master, A., Meltzoff, A. N., & Cheryan, S. (2021). Gender stereotypes about interests start early and cause gender disparities in computer science and engineering. Proceedings of the National Academy of Sciences, 118(48), e2100030118. https://doi.org/10.1073/pnas.2100030118

q3 · i? · causal · r2

Intersectional analysis in the same preregistered survey (Table 1) reports mean difference scores by race/ethnicity and gender; the article states endorsement held "for both computer science and engineering, all Ps < 0.03".

"Gender-interest stereotypes favoring boys were endorsed by Black, Asian, Latinx, and White girls and boys for both computer science and engineering, all Ps < 0.03"

Discussion

Page metadata
Field Value
type claim
id gender-interest-stereotypes-diverse-sample-grades-1-12
title Gender-interest stereotypes favoring boys in computer science and engineering are endorsed across grades 1–12 and across racial/ethnic groups in a diverse sample
description Gender-interest stereotypes favoring boys in computer science and engineering are endorsed across grades 1–12 and across racial/ethnic groups in a diverse sample
status review
evidence_strength moderate
newest_evidence 2021
recheck_by 2026
generated by process:wiki-ingest on 2026-10-16
trust unverified — no one has confirmed this page's content
sources 2 — master-2021, master-2021-2

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