Study location (NA vs non-NA) significantly moderates the FCI gender gap, with wider gaps in NA-based studies¶
Claim · All claims
Evidence · 1 study · quant-synthesisr2·q2
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.
q2 i? The moderator test for study location was significant (Q_M = 189.7808, df = 2, p < 0.05), and the NA subgroup estimate (g = 0.6784) was larger than the non-NA estimate (g = 0.5092). → Purwoko Haryadi Santoso 2024
Evidence¶
Purwoko Haryadi Santoso 2024¶
Purwoko Haryadi Santoso, Bayu Setiaji, Wahyudi, Johan Syahbrudin, Syamsul Bahri, Fathurrahman, A. Suci Rizky Ananda, Yusuf Sodhiqin. (2024). Exploring gender differences in the Force Concept Inventory using a random effects meta-analysis of international studies. https://arxiv.org/abs/2403.07190
q2 · i? · quant-synthesis · r2
Subgroup meta-analysis splitting 38 studies into NA (n = 21) and non-NA (n = 17) subgroups. The moderator test rejected the null (Q_M = 189.7808, df = 2, p < 0.05); Table 2 reports NA g = 0.6784 vs non-NA g = 0.5092, both significant and moderate.
"It was evident that the null hypothesis should be rejected (𝑄𝑀 = 189.7808, 𝑑𝑓 = 2, p < 0.05), suggesting that investigated different study locations (NA vs non-NA) significantly moderated the gender differences on the mean FCI scores reported by the PER literature globally."
Discussion¶
Learner Variables¶
- Gender — predictor: outcomes differ by group: a gap reflecting circumstances and treatment, not a cause
Related Claims¶
- Mean FCI scores differ significantly between male and female students at a moderate magnitude favoring male students (g = 0.61) across international PER studies — related
- Two non-NA studies found female students outperformed male students on the FCI, contrasting the overall pattern — related
- Study location accounts for 11.38% of the between-study heterogeneity in FCI gender gap estimates — related
- High between-study heterogeneity exists in pooled FCI gender gap estimates (Q = 215.36, I² = 91.3%, τ² = 0.0620) — related
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