Study location accounts for 11.38% of the between-study heterogeneity in FCI gender gap estimates¶

Claim · All claims
Evidence · 1 study · quant-synthesis r2 · q2
Currency · newest study 2024 · not yet checked against its sources · not reviewed by a person · recheck by 2029: baselines and conditions change

Subclaims¶

q2 i? The R² index quantifying heterogeneity explained by the NA vs non-NA covariate was 11.38% (95% CI 0%–45.32%). → 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

R² index computation comparing τ² before (0.0620) and after (0.0549) the subgroup analysis. The article reports the covariate accounted for 11.38% of total heterogeneity, with a bootstrapped 95% CI from 0% to 45.32%.

"It yielded [1 – 0.0549/0.0620] = 11.38%. Using the bootstrapping approach suggested by Viechtbauer [93], one can gauge the precision of the R2 index through the confidence intervals. Based on 95% confidence intervals, we obtained our R2 index was ranging between 0% up to 45.32%."

Discussion¶

Learner Variables¶

• Gender — predictor: outcomes differ by group: a gap reflecting circumstances and treatment, not a cause

Related Claims¶

• High between-study heterogeneity exists in pooled FCI gender gap estimates (Q = 215.36, I² = 91.3%, τ² = 0.0620) — related
• Study location (NA vs non-NA) significantly moderates the FCI gender gap, with wider gaps in NA-based studies — related