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. 2021 Dec 14;17(12):5082–5088. doi: 10.1080/21645515.2021.2004838

Table 3.

Rank, importance weights, and partial Nagelkerke R2 of the drivers of acceptance of vaccination of children and adolescents (Multi-Model averaged logistic regression)

Regression For 12–18 years
For 6–12 years
For < 6 years
Variables Ranka Importance weightb Partial R2 (%)c Rank Importance weight Partial R2 (%) Rank Importance weight Partial R2 (%)
Trust in institutions 1 1.00 8.0 4 0.99 1.0 3 1.00 2.0
Sensitivity to social norm 2 1.00 7.0 3 1.00 4.0 8 0.50 0.0
Favorable to vaccination in general 3 1.00 7.0 2 1.00 4.0 1 1.00 4.0
COVID-19 vaccine risk perception score 4 1.00 4.0 1 1.00 5.0 4 1.00 2.0
Age (18–44, 45–64 and 65 or more) 5 1.00 5.0 8 0.39 0.0 7 0.92 1.0
Fear of contracting COVID-19 6 0.99 2.0 5 0.99 1.0 2 1.00 2.0
Gender 7 0.99 2.0 7 0.93 0.0 5 0.99 1.0
Education level 8 0.36 0.0 9 0.15 0.0 9 0.21 0.0
Parents of children or adolescents <18 years 9 0.27 0.0 6 0.99 1.0 6 0.99 1.0
Total Nagelkerke pseudo-R2 0.35 0.16 0.13

aThe ranking of the explanatory variables according to their importance in the model, in terms of strength of association, can be derived from the values of the importance weights: 0.00 to <0.50, no association; 0.50 to <0.75, weak association; 0.75 to <0.95, positive association; 0.95 to <0.99, strong association; 0.99 to ≤1.00, very strong association.

bImportance of the explanatory variables in the model.

cPart of the dependent variable variance explained by the explanatory variable: the sum of all partial R2 gives the Nagelkerke Pseudo-R2 (a statistic comparable to R2 in linear regressions).