Claims

Girls show less confidence and interest in math and science from early adolescence, and a strong math/science self-concept predicts course choice and performance for both genders

Claim · All claims
Evidence · 1 study (2 entries) · review r2 · q2
Currency · newest study 2007 · checked against its sources 2026-10-16 (automated, 2 of 2 entries) · 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.

q2 i? Girls and women have less confidence in their math abilities than males, and from early adolescence girls show less interest in math or science careers. → Halpern 2007 q2 i? Students with a strong self-concept in math or science are more likely to choose and perform well in elective courses and select related majors and careers. → Halpern 2007 (2)

Evidence

Halpern 2007

Halpern, D., Aronson, J., Reimer, N., Simpkins, S., Star, J., and Wentzel, K. (2007). Encouraging Girls in Math and Science (NCER 2007-2003). Washington, DC: National Center for Education Research, Institute of Education Sciences, U.S. Department of Education. https://ies.ed.gov/ncee/wwc/PracticeGuide/5

q2 · i? · review · r2

The guide's overview synthesizes correlational and longitudinal studies (citing Andre et al. 1999; Herbert and Stipek 2005; Jacobs et al. 2002, among others). It notes this difference persists "given that males and females generally enroll in similar courses"; no effect sizes printed.

"researchers have found that girls and women have less confidence in their math abilities than males do and that from early adolescence, girls show less interest in math or science careers."

Halpern 2007 (2)

Halpern, D., Aronson, J., Reimer, N., Simpkins, S., Star, J., and Wentzel, K. (2007). Encouraging Girls in Math and Science (NCER 2007-2003). Washington, DC: National Center for Education Research, Institute of Education Sciences, U.S. Department of Education. https://ies.ed.gov/ncee/wwc/PracticeGuide/5

q2 · i? · review · r2

Correlational evidence cited in the overview (Simpkins and Davis-Kean 2005; Updegraff and Eccles 1996). The guide uses it to argue that "improving girls' beliefs about their abilities could alter their choices and performance." No effect sizes printed.

"girls, as well as boys, who have a strong self-concept regarding their abilities in math or science are more likely to choose and perform well in elective math and science courses and to select math- and science-related college majors and careers."

Studies bearing on this claim

Do girls and boys differ in confidence, interest and participation in mathematics, science and computing? This table gathers the studies behind this claim and the 12 narrower claims that bear on it: 11 distinct studies (5 associational, 2 theoretical, 1 review, 1 causal, 1 design, 1 qualitative), q2–q3, 2 of 11 with an effect size coded. One row per study, codes as each entry records them; no effect is averaged and no verdict is drawn. Built by scripts/synthesize_claim.py from eval/synthesis/; a row that looks wrong is fixed on the claim it comes from.

Study Design Effect as recorded Bears on this claim through
Halpern 2007 q2 · review · r2 i? this claim; High school girls and boys take largely similar math and science coursework, with girls mo (qualifies)
Nicolas Rodriguez-Alvarez 2026 q2 · associational · r1 i? Male students report significantly higher overall technological self-efficacy than female (supports); The technological gender gap emerges only within Technology-oriented pathways, with parity (qualifies)
Jake Renzella 2026 q3 · causal · r1 i3 Male secondary students report significantly higher STEM career interest than female stude (supports)
Üstün 2026 q2 · associational · r2 i2; i? Female students report higher job finding anxiety, AI anxiety, and negative AI attitudes t (supports)
Sutedjo A 2026 q2 · associational · r2 i? Male faculty report modestly higher self-perceived GenAI knowledge than female faculty in (supports)
ap-enrollment q2 · theoretical · r2 i? AP Computer Science participation is disproportionately low among girls and students of co (supports)
Digital Promise 2017 q2 · theoretical · r2 i? Girls and underrepresented minorities remain far below representative participation on AP (supports)
Stoet G 2013 q2 · associational · r2 i? The fraction of women enrolling in mathematics degree programs in the UK and the Netherlan (supports)
Hoachlander 2020 q2 · associational · r2 i? New Mexico CTE enrollment shows breadth over depth and demographic underrepresentation, wi (supports)
Babineau 2025 q2 · design · r2 i? San Diego regional data show STEM access and pay remain inequitable by race, socioeconomic (supports)
Bria Carter 2024 q2 · qualitative · r3 i? Black women and participants with intersecting identities report being overlooked, facing (supports)

Discussion

Learner Variables

Page metadata
Field Value
type claim
id girls-confidence-interest-gap-self-concept-predicts-choices
title Girls show less confidence and interest in math and science from early adolescence, and a strong math/science self-concept predicts course choice and performance for both genders
description Girls show less confidence and interest in math and science from early adolescence, and a strong math/science self-concept predicts course choice and performance for both genders
status review
evidence_strength weak
newest_evidence 2007
source_checked 2026-10-16
generated by process:wiki-ingest on 2026-10-09
trust unverified — no one has confirmed this page's content
sources 2 — halpern-2007, halpern-2007-2

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