Table 3.
The latent variables and underlying survey items, alongside the results from a principal component analysis.
| Latent variable/survey item | Loadings (1st PC) | Loadings (2nd PC) |
|---|---|---|
| BEHAVIORAL INTENT | ||
| How likely are you to arrange or take an unneutered cat, which you believe to be unowned, to the vet to be neutered? | 0.58 | 0.73 |
| KNOWLEDGE OF UNOWNED CATS NEEDS | ||
| How important do you think it is that unowned cats are provided with neutering? | 0.14 | |
| How important do you think it is that unowned cats are provided with treatment? | 0.16 | |
| KNOWLEDGE OF NEUTERING | ||
| Disagree that related cats won't mate with each other | 0.10 | |
| Agree that neutering reduces anti-social cat behavior, like wailing and spraying | 0.10 | |
| PERCEPTIONS OF UNOWNED CATS | ||
| Total number of bad points respondents stated | 0.23 | |
| ATTITUDE TOWARD CATS | ||
| How much do you like or dislike cats? | 0.59 | 0.49 |
| Do you own a cat? | 0.13 | 0.13 |
The first and second principal components (PC) are aligned with behavior intent. Variables with loadings >0.10 are shown here. The higher the component loading the more important it is and therefore aligns with behavioral intent.