Learning Objective 1: understand the intercultural applicability of Magnet-Hospital attributes.
Learning Objective 2: describe the relevance of multi-level modeling to both quantify and account for the nested nature of nursing practice within organizations.
Methods: A secondary data analysis was conducted using the baseline data of the European Nurses′ Early Exit (NEXT) Study. This cross-sectional study was designed and analyzed using a multilevel approach with latent constructs. The sample population included 3182 registered nurses who had worked in the ICUs, hospital wards and psychiatric units of 31 hospitals in Belgium and
Results: The measurement models fitted well to the data (CFI>0.90, RMSEA<0.08, SRMR<0.10). All six Magnet Hospital attributes (autonomy, interdiscipinary relations, professional development, personnel policies, management style, and quality of leadership) were significant predictors of job satisfaction (Beta= 0.35-0.96, R2=12.5%-92.6%) at the individual level. At the organizational level, only four attributes were significant predictors (Beta=0.26-0.68, R2=7.2%-71.2%). The variance of job satisfaction at the individual level was explained mostly by personnel policies (as represented by salary and organizational support); the variance of job satisfaction at the organizational level was explained mostly by management style (as represented by supervisor support and communication).
Conclusion: The latent
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