Evaluating anxiety and self-confidence in nursing students: Adaptation and validation of the NASC-CDM scale for high-fidelity simulation training
•NASC-CDM scale is adapted for nursing students in high-fidelity simulation (HFS).•Exploratory factor analysis revealed constructs for anxiety and self-confidence.•Anxiety and self-confidence showed high internal consistency (α = 0.956 and α = 0.955).•The valid tool reliably measures nursing student...
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Veröffentlicht in: | Clinical simulation in nursing 2024-11, Vol.96, p.101618, Article 101618 |
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Format: | Artikel |
Sprache: | eng |
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Zusammenfassung: | •NASC-CDM scale is adapted for nursing students in high-fidelity simulation (HFS).•Exploratory factor analysis revealed constructs for anxiety and self-confidence.•Anxiety and self-confidence showed high internal consistency (α = 0.956 and α = 0.955).•The valid tool reliably measures nursing students anxiety and self-confidence in HFS.
Anxiety and self-confidence impact performance and decision-making during high-fidelity simulation in nursing education. A validated tool to assess these factors is lacking.
The Nursing Anxiety and Self-Confidence with Clinical Decision-Making© scale (NASC-CDM) was translated, adapted for high-fidelity simulation and validated using a five-step approach. This included a Content Validity Index review by experts and pilot-testing with first-year nursing students. Construct validity and internal consistency were evaluated using Exploratory Factor Analysis and Cronbach's alpha.
A total of 187 first-year nursing students participated. Exploratory Factor Analysis identified constructs for anxiety (two factors, 60.72% variance) and self-confidence (three factors, 61.22% variance). The tool demonstrated high internal consistency, with Cronbach's alpha values of 0.956 for anxiety and 0.955 for self-confidence.
The 19-item Dutch Nursing Anxiety and Self-Confidence with Clinical Decision-Making for High-Fidelity Simulation scale is a valid and reliable instrument measuring anxiety and self-confidence in nursing students during high-fidelity simulation. |
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ISSN: | 1876-1399 |
DOI: | 10.1016/j.ecns.2024.101618 |