Abstract:
This study determinated employee resilience in the healthcare workforce in the study area. Stratified sampling techniques were used. Primary data were collected from 250 sample respondents and analyzed by using descriptive statistics and Ordered Logistic Regression (OLR), and the results of the parameter estimate of the model for the relationship between employee resilience and explanatory variables. OLR was employed to determinant employee resilience in the healthcare workforce. The results indicate that among the seven hypothesized determinated employee resilience in the healthcare workforce, five variables were found to be significant. These included gender, age, education, experience, and services. The estimated coefficient of multiple determinations (R2) was 0.05, and the adjusted R2 of 81.6% further consolidated the goodness of the model; hence, its econometric significance and reliability. Therefore, after the OLR regression multicollinearity and heteroscedasticity detection tests were performed. There was a statistically significant difference between soft skills needed for employees to be successful in this study area and employee resilience at a 1% confidence interval because p-value < 0.05 using ANOVA (the two-tailed)
