Claims

Meta-regression finds no significant moderators of VR's effect on anatomy examination scores

Claim · All claims
Evidence · 1 study · quant-synthesis r3 · 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? Meta-regression of effect sizes on seven potential moderators (year, country, learners, course, intervention, comparator, duration) found none significant at p < 0.05. → Zhao Jingjie 2020

Evidence

Zhao Jingjie 2020

Zhao Jingjie, Xu Xinliang, Jiang Hualin, Ding Yi. (2020). The effectiveness of virtual reality-based technology on anatomy teaching: a meta-analysis of randomized controlled studies. BMC Medical Education. https://doi.org/10.1186/s12909-020-1994-z

q3 · i? · quant-synthesis · r3

Meta-regression analysis conducted to explore sources of heterogeneity in the primary outcome, reported in Table 3 with coefficients and p values for each factor. No moderator reached significance; no effect size is printed for this null finding.

"We regressed effect sizes on 7 potential moderators: year, country, learners, course, intervention, comparator, and duration. As shown in Table 3, none of the moderators were significant at a level of p < 0.05."

Discussion

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