Predicting nursing turnover with catastrophe theory.

@article{Wagner2010PredictingNT,
  title={Predicting nursing turnover with catastrophe theory.},
  author={Cheryl Wagner},
  journal={Journal of advanced nursing},
  year={2010},
  volume={66 9},
  pages={2071-84}
}
AIM This paper is a report of a study comparing an innovative nonlinear model and a traditional linear model for accuracy in prediction of nursing turnover. BACKGROUND An international, sustained nursing shortage creates a need to target accurately the staff population at risk for turnover. Existing linear methodology is cumbersome with the number of variables needed, while producing inadequate results. Nonlinear modelling methods offer increased simplicity and accuracy in predictability… CONTINUE READING

From This Paper

Topics from this paper.

Citations

Publications citing this paper.
Showing 1-10 of 11 extracted citations

Thirty years of nursing turnover research: looking back to move forward.

Medical care research and review : MCRR • 2013
View 3 Excerpts
Highly Influenced

Cusp Catastrophe Regression and Its Application in Public Health and Behavioral Research

International journal of environmental research and public health • 2017
View 1 Excerpt

An Exploratory Statistical Cusp Catastrophe Model

2016 IEEE International Conference on Data Science and Advanced Analytics (DSAA) • 2016
View 1 Excerpt

Motivating factors among Iranian nurses

Iranian journal of nursing and midwifery research • 2015
View 1 Excerpt

Similar Papers

Loading similar papers…