The pooled PSU–achievement estimate is robust to outlier removal and shows no evidence of publication bias¶
Claim · All claims
Evidence · 1 study · quant-synthesisr3·q4
Currency · newest study 2024 · not yet checked against its sources · not reviewed by a person
Subclaims¶
Reading the evidence codes
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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.
q4 i? After removing four potential-outlier effect sizes, the adjusted pooled estimate (r = −0.123) was largely consistent with the unadjusted one, and funnel-plot and 3PSM checks found no publication bias. → Paterna 2024
Evidence¶
Paterna 2024¶
Paterna, Adrian; Alcaraz-Ibáñez, Manuel; Aguilar-Parra, Jose M.; Salavera, Carlos; Demetrovics, Zsolt; Griffiths, Mark D. (2024). Problematic smartphone use and academic achievement: A systematic review and meta-analysis. Journal of Behavioral Addictions. https://doi.org/10.1556/2006.2024.00014
q4 · i? · quant-synthesis · r3
Sensitivity analysis using GOSH-plot influence analyses identified four outlier studies (Bai et al., 2020; Domoff et al., 2020; Zhou, Liu, Wang, et al., 2022; Zhou, Liu, Ye, et al., 2022); the adjusted random-effects model is reported here. Publication bias checks: "The results of 3PSM did not suggest the presence of publication bias [χ2(1) = 0.034, p = 0.854]."
"the result from the adjusted model (r = −0.123, p < 0.001; 95% CI = −0.164 to −0.081; I2 = 83.50) was found to be largely consistent with the non-adjusted one (r = −0.110, p < 0.001; 95% CI = −0.156 to −0.066, I2 = 93.70)."
Discussion¶
Related Claims¶
- The pooled PSU–achievement estimate is consistent with the earlier Kates et al. (2018) meta-analysis while using far more effect sizes — related
- The pooled burnout–dropout intentions effect appears robust to outliers and minimally influenced by publication bias — related
- Publication-bias checks indicate the pooled effect is unlikely to result from publication bias — related
- Publication bias is unlikely to explain the consistency of SRL intervention effect sizes — related
- Publication bias could not be ruled out in the pooled teacher-student SEC estimate, though the association persisted across sensitivity analyses — related
- Problematic smartphone use shows a small negative pooled correlation with academic achievement (r = −0.110) — related
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