Table 1.
Independent variables included in statistical analyses.
Table 2.
Characteristics of respondents and vaccine intention rates in Saskatchewan, Canada.
Fig 1.
Adjusted relative risk ratios for the determinants of COVID-19 vaccine intent in Saskatchewan, Canada.
Color code: black (reference), green (likely to be vaccine ready), red (likely to refuse or hesitant), and purple (not statistically significant).
Fig 2.
Decision tree model for COVID-19 vaccine intentions in Saskatchewan, Canada.
To interpret the decision tree, the branches should be traced from the root node—vaccine intentions (i.e., first node with highest information gain) to the subsets of root node (i.e., internal nodes). The internal nodes (i.e., predictor variables) represent attributes associated with vaccine intentions (i.e., root node) based on statistical probabilities. The first set of internal nodes represents the most influential predictors of the outcome variable. The furthest nodes are the terminal nodes or leaves.
Fig 3.
Column contributions of independent variables in CART model.