eISSN 2097-6046
ISSN 2096-7446
CN 10-1655/R
Responsible Institution:China Association for Science and Technology
Sponsor:Chinese Nursing Association

Chinese Journal of Emergency and Critical Care Nursing ›› 2025, Vol. 6 ›› Issue (5): 596-602.doi: 10.3761/j.issn.2096-7446.2025.05.017

• Career Development of Nurses • Previous Articles     Next Articles

Development and validation of the Crisis Leadership Scale for Nursing Staff under major infectious disease epidemics

CHEN Changchang(), MU Hezi, HE Shizhe, YANG Qian, LANG Hongjuan()   

  • Received:2024-10-09 Online:2025-05-10 Published:2025-04-28

Abstract:

Objective To develop the Crisis Leadership Scale for Nursing Staff(CLS-NS) under major infectious diseases epidemics and test its reliability and validity. Methods A conceptual model of nursing crisis leadership was constructed based on the six-aspect model of crisis leadership combined with literature analysis and qualitative interviews. We initially constructed the scale,primarily through literature review,qualitative interviews,Delphi questionnaire and two-round pre-surveys. 646 nursing staff from three tertiary general hospitals in Shanaxi Province were selected as respondents in July 2023 to assess the scale’s reliability and validity. Results The CLS-NS included 36 entries in 5 dimensions. We extracted 5 common factors via the exploratory factor analysis,namely early warning ability,loading the responsibility,control power,cohesiveness,and growing power,with a cumulative variance contribution of 88.063%. Validation factor analysis results revealed a well-fitted model and stable structural factors of the questionnaire. S-CVI and I-CVI were both 1.00. The Cronbach’s α coefficient of the total scale was 0.973,the odd-even split reliability was 0.930,and the re-measurement reliability was 0.795. Conclusion The CLS-NS has shown favorable reliability and validity and can be used as an instrument to assess crisis leadership of nursing staff.

Key words: Nursing Staff, Crisis Leadership, Crisis, Major Infectious Diseases Epidemics, Scale, Reliability, Validity