Structural Equation Modeling of Advanced Beginner-Stage Nurses' Intention to Continue Employment
10.11111/jkana.2023.29.5.517
- Author:
Seung-Hee LEE
1
;
Hwasoon KIM
Author Information
1. Nurse, PACU2, Seoul National University Hospital, Seoul, Korea
- Publication Type:ORIGINAL ARTICLE
- From:Journal of Korean Academy of Nursing Administration
2023;29(5):517-528
- CountryRepublic of Korea
- Language:English
-
Abstract:
Purpose:The purpose of this study was to establish a structural model explaining the factors affecting advanced beginner-stage nurses' intention to continue employment. This model was designed to provide basic data for improving the intention to continue employment among advanced beginner-stage nurses and to efficiently manage nurses as human resources.
Methods:In order to construct a hypothetical model, latent factors affecting nurses' intention to continue employment were identified through systematic review and meta-analysis. As a result of systematic review, hypothetical model was constructed with nursing professionalism, calling, work environment, positive psychological capital, and job satisfaction. Structural equation modeling was then conducted through SPSS 25.0, AMOS 22.0, and Mplus 6.12 statistics programs.
Results:First, none of the pathways affected by nursing professionalism were statistically significant. Second, the final structural model showed fit very well based on the fit indices RMSEA=.062, SRMR=.052, RMR=.048, CFI=0.95, and TLI=0.94.
Conclusion:This study’s results identified that job satisfaction, calling, work environment, and positive psychological capital affected advanced beginner-stage nurses' intention to continue employment. Among these, job satisfaction was the most powerful variable influencing the decision to continue employment for advanced beginner-stage nurses.
