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Neural Network Analysis of Nonlinear Effects of Hardiness on Burnout in Chinese Nurses

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DOI: 10.4236/jss.2014.25019    6,180 Downloads   13,460 Views   Citations

ABSTRACT

Substantial research attention is evident in the hardiness and related literature concerning the topic of moderational effects of hardiness on work-related stressors and strains. In this research mostly linear methods have been used to analyze these moderational effects. However, it is not very likely that these effects are purely linear. The present study uses a neural network, a method which can model nonlinear relationships, to analyze the effects of hardiness. A cluster analysis of 268 Chinese nurses based on their self-ratings in the hardiness dimensions of commitment, challenge, and control was performed. Two groups of individuals were identified, consisting of (1) those who scored above average and (2), those who scored below average on all hardiness dimensions. On the basis of these clusters, a multi-layer neural network was used to analyze the data.

Conflicts of Interest

The authors declare no conflicts of interest.

Cite this paper

Ladstätter, F. , Garrosa, E. and Dai, J. (2014) Neural Network Analysis of Nonlinear Effects of Hardiness on Burnout in Chinese Nurses. Open Journal of Social Sciences, 2, 96-99. doi: 10.4236/jss.2014.25019.

References

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