Table 2.
Rotated factor loadings for public risk perceptions towards tree pests and diseases
| Factors/items | Factor 1 | Factor 2 |
|---|---|---|
| Factor 1: threats to public goods and ecosystem services | ||
| Concern about impacts on woodland biodiversity | .925 | .112 |
| Concern about loss of tree species | .891 | .152 |
| Concern about landscape change | .855 | .230 |
| Concern about impacts on timber production | .707 | .432 |
| Concern about costs to government | .682 | .418 |
| Factor 2: threat of personal economic and health impacts | ||
| Concern about cost dealing with infected trees | .149 | .884 |
| Concern about health impacts on family | .253 | .839 |
| Eigenvalue | 4.244 | 1.122 |
| % of cumulative variance | 60.6 | 16.0 |
| Cronbach’s alphaa | .910 | .756 |
Factor loadings derived from rotated component matrix using principal component analysis and varimax rotation with Kaiser normalisation
aCronbach’s alpha measures how closely related a set of items are, with coefficients over .7 indicating good internal consistency