Meta-regression identifies percentage of female participants, sample size, and interdisciplinary participation as moderators of effect size¶

Claim · All claims
Evidence · 1 study · quant-synthesis r2 · q2
Currency · newest study 2026 · not yet checked against its sources · not reviewed by a person

Subclaims¶

q2 i? A meta-regression model with several moderators significantly fit the data (Adj R2 = 87.96%, F(5,7) = 4.68, p = 0.034); higher female percentage (β = 0.116, p = 0.014), larger sample size (β = –0.003, p = 0.011), and interdisciplinary interventions (β = 6.96, p = 0.039) were significant moderators. → Wong Ion Hong 2026

Evidence¶

Wong Ion Hong 2026¶

Wong Ion Hong, Gao Xiaoyu, Tan Zhengyi, Fang Yiping, Wang Qun, Lei Wai In, Van Iat Kio, Tan Meijing, Liu Ning, Wu Jianwei. (2026). The impact of experiential learning on healthcare students’ attitudes towards dementia: a systematic review and meta-analysis. BMC Geriatrics. https://doi.org/10.1186/s12877-026-07573-w

q2 · i? · quant-synthesis · r2

Meta-regression across the 13 included studies. The review also reports interdisciplinary interventions showed a significant positive association (β = 6.96, p = 0.039), while artistic format and face-to-face interaction did not reach significance when adjusted for covariates.

"Meta-regression showed that several moderators jointly explained a large proportion of the between-study variance (Adj R2 = 87.96%), with a statistically significant model fit [F (5,7) = 4.68, p = 0.034). Specifically, a higher percentage of female participants was significantly associated with greater improvements in attitudes (β = 0.116, p = 0.014), and studies with larger total sample sizes tended to report smaller effect sizes (β = –0.003, p = 0.011)."

Discussion¶

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