Application of multilevel mediation model to nursing study
10th American Pediatrics healthcare & Pediatric Infectious Diseases Congress
September 20-22, 2017 | Toronto, Canada
Jichuan Wang
The George Washington University, USA
Scientific Tracks Abstracts : Pediatric Healthcare & Pediatric Infections
Abstract:
Multilevel mediation model has been increasingly applied in many fields, such as prevention, organizational, education studies and health studies. This study will discuss three widely used multilevel medication models (i.e., 1-11, 2-1-1, and 2-2-1 models). This study will demonstrate application of the popular 2-1-1 model in nursing study. Data are simulated with three variables: nurse’s job satisfaction (level-1 variable Mij), nurse’s intention to leave (level-1 outcome Yij), and hospital work environment (level-2 variable Xj), where the sub-script i represents level-1 (individual) unit and sub-script j represents level-2 (hospital) unit. The hypothesis is that, the effect of the work environment (Xj) on nurse’s intention to leave (Yij) is mediated by nurse’s job satisfaction (Mij). However, the level-1 variable Mij could serve as a mediator for both level-1 and level-2. The study will show how to examine within-cluster, indirect effect, as well as between-cluster indirect effect that is above and beyond the within-cluster indirect effect. In addition, how to control for covariates or confounding factors in the model using residualized score will be discussed.
Biography:
Jichuan Wang has completed his PhD from Cornell University and Post-doctoral studies from the Population Studies Center, University of Michigan. He is a Senior Biostatistician at Children’s Research Institute, CNHS. He has published three statistical books and authored/co-authored more than 100 peer-reviewed journal articles. He has been serving as Editorial Board Member of five academic journals.
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