Claims

Effect sizes of e-learning in VET vary widely across studies: 11 articles showed large, 4 medium, and 3 small effects

Claim · All claims
Evidence · 1 study · quant-synthesis r1 · q3
Currency · newest study 2022 · 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? The distribution of effect magnitudes varied: three articles had a low effect size (16.7%), four a medium effect size (22.2%), and eleven a large effect size (61.1%). → Daryanto 2022

Evidence

Daryanto 2022

Daryanto, E., Siregar, B., & Januariyansah, S. (2022). A meta-analysis of the e-learning influence on Vocational Education and Training (VET): Preliminary study of virtual to actualization. International Journal of Education in Mathematics, Science, and Technology (IJEMST), 10(3), 710-721. https://doi.org/10.46328/ijemst.2509

q3 · i? · quant-synthesis · r1

Meta-analysis of 18 articles reporting the distribution of individual effect sizes in Table 1. The article states "three articles had a low effect size (16.7%)" and reports the medium and large counts with percentages; no per-study standardized effect beyond η² values is summarized here.

"In detail, three articles had a low effect size (16.7%), four articles had a medium effect size (22.2%) and 11 articles had a large effect size (61.1%)."

Discussion

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