The combined meta-regression model of sample size and number of vocabulary items taught is significant, accounting for 44.7% of between-study variance¶

Claim · All claims
Evidence · 1 study · quant-synthesis r3 · q3
Currency · newest study 2025 · not yet checked against its sources · not reviewed by a person

Subclaims¶

q3 i? Model 3, combining sample size and number of vocabulary words taught, significantly explains variance among effect sizes (QM(df = 8) = 25.7, p < .05), accounting for 44.7% of the variance, leaving 55.3% unexplained. → 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 3 on 27 studies. The article reports "QM (df = 8) = 25.7; p < .05" and R² of 44.7% ([0.212/0.474] x 100), with 55.3% unexplained. No standardised effect size is printed, so impact is null.

"the third model, which attempts to explain the variance among effect sizes by both sample size and the number of vocabulary words taught (QM (df = 8) = 25.7; p < .05), produces significant results"

Discussion¶

Related Claims¶

• Number of vocabulary words taught alone does not significantly predict effect sizes in meta-regression — related
• Sample size alone significantly predicts between-study variance in effect sizes, explaining 45.7% of heterogeneity — related
• None of five moderators (pilot study, retention test, word-selection method, vocabulary outcome, number of words taught) significantly explained heterogeneity in effect sizes — related
• Substantial between-study heterogeneity remained unexplained after the three design characteristics were accounted for (τ² = 0.03; QE = 101.25, df = 24, p < 0.001) — related