High between-study heterogeneity exists in pooled FCI gender gap estimates (Q = 215.36, I² = 91.3%, τ² = 0.0620)¶
Claim · All claims
Evidence · 1 study · quant-synthesisr3·q2
Currency · newest study 2024 · not yet checked against its sources · not reviewed by a person · recheck by 2029: 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.
q2 i? Heterogeneity statistics indicate significant, high variability among true effect sizes across the 38 pooled studies. → 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 · r3
Heterogeneity assessment of the 38-study random effects meta-analysis. The article reports Q = 215.36, df = 37, p < 0.05, an I² of 91.3% exceeding the 75% cutoff, and a positive τ² of 0.0620, all indicating significant unexplained heterogeneity.
"The test for heterogeneity (𝑄 = 215.36, 𝑑𝑓 = 37, 𝑝 < 0.05) suggested considerable heterogeneity among the true effects within the pooled studies."
Discussion¶
Learner Variables¶
- Gender — predictor: outcomes differ by group: a gap reflecting circumstances and treatment, not a cause
Related Claims¶
- Study location accounts for 11.38% of the between-study heterogeneity in FCI gender gap estimates — related
- Effect sizes for gender differences in L2 achievement are highly heterogeneous across studies (I² = 89.82%) — related
- 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
- Effect size estimates for hands-on science interventions are highly heterogeneous across studies — related
- Effect sizes across the included studies are highly heterogeneous (I² = 91.37%), indicating moderating factors — related
- Most individual studies report positive gender gaps in mean FCI scores, with effect sizes ranging from -0.15 to 1.5 — related
- Study location (NA vs non-NA) significantly moderates the FCI gender gap, with wider gaps in NA-based studies — related
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