Statistical Analyses
MBI results were analyzed by descriptive statistics (Table 1). ANOVAs
and Tukey’s post hoc tests determined significant differences in job
demand, involvement in PSEs, and burnout in inpatient nurses, ambulatory
nurses, MDs and APPs. Statistical analyses were performed using SAS,
version 9.4 (SAS Institute).
To evaluate associations among MBI dimensions and NASA-TLX job demands,
relative weights analysis (RWA) was conducted using
RWA-Web.24,25 Relative weight refers to the
proportionate contribution of each predictor variable to the variance
accounted for in a regression model while considering its unique
contribution and that when combined with other
variables.24 RWA is superior to traditional regression
analysis as it generates a more accurate ranking of each predictor’s
unique contribution to an outcome variable. RWA provides accurate
estimates of the relative importance of predictors in cases of high
levels of collinearity.26 Our study conducted 9 RWA (3
cohorts×3 burnout dimensions). In all analyses, 95% confidence
intervals for each individual relative weight and all corresponding
significance tests were based on bootstrapping with 10,000 replications.