Number of vocabulary words taught alone does not significantly predict effect sizes in meta-regression¶
Claim · All claims
Evidence · 1 study · quant-synthesisr3·q3
Currency · newest study 2025 · 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 meta-regression Model 2, the number of vocabulary words taught had no significant predictive effect on effect size values (QM(df = 1) = 2.37, p > .05). → Kansızoğlu 2025
Evidence¶
Kansızoğlu 2025¶
Kansızoğlu, N. & Bekiroğlu, N. (2025). The effect of vocabulary development interventions on cognitive outcomes of vocabulary: A meta-analysis study. Journal of Pedagogical Research, 9(1), 123-148. https://doi.org/10.33902/JPR.202532083
q3 · i? · quant-synthesis · r3
Meta-regression Model 2 (number of vocabulary taught) on 27 studies. The article reports "QM (df = 1) = 2.37, p > .05" with R² of 0.09; equivalence was not tested.
"The analysis revealed that this model does not have a significant predictive effect on the effect size values (QM (df = 1) = 2.37, p > .05)"
Discussion¶
Related Claims¶
- The combined meta-regression model of sample size and number of vocabulary items taught is significant, accounting for 44.7% of between-study variance — related
- None of five moderators (pilot study, retention test, word-selection method, vocabulary outcome, number of words taught) significantly explained heterogeneity in effect sizes — a broader claim this one bears on
- The effect size does not vary significantly with sample size or publication year in meta-regression — related
- Sample size alone significantly predicts between-study variance in effect sizes, explaining 45.7% of heterogeneity — related
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