Validation of the resilience scale for nurses (RSN)

Area of Science:

• Nursing Research
• Psychometrics
• Healthcare Professional Well-being

Background:

• Assessing resilience in nurses is crucial for developing effective support interventions.
• Existing tools may not adequately capture the multifaceted nature of resilience in nursing.
• The Resilience Scale for Nurses (RSN) was developed to address this need.

Purpose of the Study:

• To verify the validity and reliability of the Resilience Scale for Nurses (RSN).
• To establish the psychometric properties of the RSN for use in Korean nursing populations.

Main Methods:

• Exploratory Factor Analysis (EFA) and Confirmatory Factor Analysis (CFA) were employed.
• Data were collected from 339 nurses in South Korea.
• Construct, discriminant, and convergent validity, along with internal consistency reliability, were assessed.

Main Results:

• The RSN demonstrated a robust four-factor structure: Philosophical, Relational, Dispositional, and Situational patterns.
• 19 items across these four factors explained 67.329% of the total variance.
• The scale exhibited high internal consistency reliability (Cronbach's α = 0.938).

Conclusions:

• The RSN is a psychometrically sound and reliable instrument for measuring resilience in Korean nurses.
• The findings support the RSN's utility in evaluating resilience.
• This validated scale can inform the design of tailored resilience-building programs for nurses.