Claims

No single study affected the statistically significant PBL advantage in sensitivity analysis

Claim · All claims
Evidence · 1 study · quant-synthesis r1 · q3
Currency · newest study 2020 · 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? Sequential removal of each individual study did not affect the statistically significant difference in total examination scores between PBL and control students. → Gao Junwei 2020

Evidence

Gao Junwei 2020

Gao Junwei, Yang Ling, Zhao Jinghui, Wang Lian, Zou Jiao, Wang Chunxiang, Fan Xiaotang. (2020). Comparison of problem-based learning and traditional teaching methods in medical psychology education in China: A systematic review and meta-analysis. PLoS ONE. https://doi.org/10.1371/journal.pone.0243897

q3 · i? · quant-synthesis · r1

Sensitivity analysis removing each study sequentially to assess its influence on the pooled Hedges' g. The article reports no single study affected the significant difference; no effect size is printed for this analysis.

"The results showed that no single study could affect the statistically significant difference in total examination scores between students in PBL groups and controls"

Discussion

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