Pooled satisfaction and self-confidence effects are sensitive to individual studies, while knowledge, performance and self-efficacy effects are robust in leave-one-out analysis¶
Claim · All claims
Evidence · 1 study (2 entries) · quant-synthesisr2–r3·q3
Currency · newest study 2019 · checked against its sources 2026-11-01 (automated, 2 of 2 entries) · 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? Removing single studies made the satisfaction pooled effect significant (0.51, p=0.002; 0.48, p=0.018; 0.42, p=0.047), while objective outcomes remained robust (knowledge 0.38–0.58; performance 0.43–0.57). → La Cerra Carmen 2019
q3 i? Self-efficacy showed no change in leave-one-out analysis, remaining non-significant in all cases (ranging from −0.13 to 0.26). → La Cerra Carmen 2019 (2)
Evidence¶
La Cerra Carmen 2019¶
La Cerra Carmen, Dante Angelo, Caponnetto Valeria, Franconi Ilaria, Gaxhja Elona, Petrucci Cristina, Alfes Celeste M, Lancia Loreto. (2019). Effects of high-fidelity simulation based on life-threatening clinical condition scenarios on learning outcomes of undergraduate and postgraduate nursing students: a systematic review and meta-analysis. BMJ Open 9(2):e025306. https://doi.org/10.1136/bmjopen-2018-025306
q3 · i? · quant-synthesis · r2
Leave-one-out sensitivity analysis of pooled effect sizes. For satisfaction the pooled effect "became significant by removing Kang, Luctkar-Flude or Luctkar-Flude"; knowledge and performance remained robust and significant.
"Regarding the self-rating outcome of satisfaction, the pooled effect size became significant by removing Kang,41 Luctkar-Flude42 or Luctkar-Flude (0.51, p=0.002; 0.48, p=0.018; 0.42, p=0.047; respectively)."
La Cerra Carmen 2019 (2)¶
La Cerra Carmen, Dante Angelo, Caponnetto Valeria, Franconi Ilaria, Gaxhja Elona, Petrucci Cristina, Alfes Celeste M, Lancia Loreto. (2019). Effects of high-fidelity simulation based on life-threatening clinical condition scenarios on learning outcomes of undergraduate and postgraduate nursing students: a systematic review and meta-analysis. BMJ Open 9(2):e025306. https://doi.org/10.1136/bmjopen-2018-025306
q3 · i? · quant-synthesis · r3
Leave-one-out sensitivity analysis for self-efficacy: the effect "remained not significant in all cases", ranging from −0.13 to 0.26 across removed-study iterations.
"The last self-rating outcome, that is self-efficacy, did not show any change of the effect size that remained not significant in all cases (ranging from −0.13 to 0.26)."
Discussion¶
Related Claims¶
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- HFPS based on life-threatening clinical scenarios produces significantly larger performance gains than other teaching methods in nursing students (d=0.50) — related
- HFPS based on life-threatening scenarios shows no significant difference from other teaching methods on nursing students' satisfaction — related
- HFPS based on life-threatening scenarios shows no significant difference from other teaching methods on nursing students' self-confidence — related
- HFPS based on life-threatening scenarios shows no significant difference from other teaching methods on nursing students' self-efficacy (d=0.05) — related
- The pooled VR score effect is robust to study removal and shows no significant publication bias — related
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