Samples with a majority of female students showed significantly smaller science effects than evenly distributed samples¶
Claim · All claims
Evidence · 1 study · quant-synthesisr3·q3
Currency · newest study 2024 · 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? In the meta-regression, the percentage of female students was the only variable significantly related to effect size: majority-female samples (56–99%) had smaller effects than evenly distributed samples (b = −0.59, p = .05). → Polanin 2024
Evidence¶
Polanin 2024¶
Polanin, J. R., Austin, M., Taylor, J. A., Steingut, R. R., Rodgers, M. A., & Williams, R. (2024). Effects of the 5E Instructional Model: A Systematic Review and Meta-Analysis. AERA Open. https://doi.org/10.1177/23328584241269866
q3 · i? · quant-synthesis · r3
Exploratory meta-regression Model 1 on the science domain (R² = 36.6%): the only significant predictor was sample sex composition, with majority-female samples showing smaller effects than evenly distributed samples.
"effects differed significantly for samples that were comprised of a majority of female students (56–99%) compared to samples that had an even distribution of male and female students (55–45% female students; b = −0.59, SE = 0.26, p = .05)"
Discussion¶
Related Claims¶
- Female percentage and mean age significantly moderate the ER difficulties–burnout association; study quality does not — related
- Most study characteristics (publication year, mean age, sampling, target language, L2 major, proficiency, measure, mode) do not significantly moderate the gender gap — related
- GenAI function, intervention duration, publication year, and gender were not significant moderators of GenAI's motivational effect — related
- Meta-regression identifies percentage of female participants, sample size, and interdisciplinary participation as moderators of effect size — related
Page metadata
| Field | Value |
|---|---|
status |
review |
generated |
by process:wiki-ingest on 2026-10-31 |
trust |
unverified — no one has confirmed this page's content |
Frontmatter is the page's machine-readable record — see the Schema & Guide.