Claims

Live simulations with real patients showed the greatest effects among simulation types (g = 2.27, medical education only)

Claim · All claims
Evidence · 1 study · quant-synthesis r? · q3 · i1 small
Currency · newest study 2020 · checked against its sources 2026-10-18 (automated, 1 of 1 entry) · 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 i1 Document-based simulations were the least effective simulation type (g = 0.31). → Olga Chernikova 2020

Evidence

Olga Chernikova 2020

Olga Chernikova, Nicole Heitzmann, and Matthias Stadler, Doris Holzberger, Tina Seidel, Frank Fischer. (2020). Simulation-Based Learning in Higher Education: A Meta-Analysis. Review of Educational Research. https://doi.org/10.3102/0034654320933544

q3 · i1 · quant-synthesis · r?

Metaregression moderator analysis of simulation type. Document-based simulations, despite often highly resembling actual tasks, were the least effective type with "g = 0.31, SE = 0.15, N = 15".

"simulations based on documents, although often highly resembling actual tasks (X-rays of patients, students' homework) were the least effective (g = 0.31, SE = 0.15, N = 15)."

Discussion

Page metadata
Field Value
type claim
id simulation-type-moderates-effectiveness
title Live simulations with real patients showed the greatest effects among simulation types (g = 2.27, medical education only)
description Live simulations with real patients showed the greatest effects among simulation types (g = 2.27, medical education only)
status review
evidence_strength moderate
newest_evidence 2020
source_checked 2026-10-18
generated by process:wiki-ingest on 2026-10-17
trust unverified — no one has confirmed this page's content
sources 1 — olga-chernikova-2020

Frontmatter is the page's machine-readable record — see the Schema & Guide.