Latent Variables Associated to Hospital Efficiency
Northern Kentucky University
"This presentation examines several latent variables, both outcome and predictor, and their association to hospital efficiency. There were an overwhelming number of variables with fewer data points, so dimension reduction techniques were used to examine these variables in a reduced sense. Several variables made up the latent variables and dimension reduction allowed for including all of our latent variables in our model. A general linear model was used to see the associations between our outcome variables and our predictor variables. Ultimately, results found that latent variable representing transactive memory were highly associated with our outcome variables representing both quality measures and team outcomes. We also found that whoever leads the shift has a significant impact on the quality measures variable. Lastly, a checklist indicator variable was also significant for quality measures."
2020 Celebration of Student Research and Creativity presentation
Hospitals Administration, Dimension reduction (Statistics), Quality control