Table 3. Significant direct and indirect path effects (standardized regression weights) in the structural acceptance capacity model.
| Dependent Variables | Independent Variables | Effects | Mediators a | ||
|---|---|---|---|---|---|
| Direct | Indirect | Total | |||
| Beliefs | Direct Experience | -0.258** | — | -0.258** | — |
| Risk of Attack on People (Forest) | Direct Experience | 0.010 | 0.085** | 0.095 | Beliefs |
| Beliefs | -0.220** | — | -0.220** | — | |
| Tiger Population | 0.459** | — | 0.459** | — | |
| Risk of Livestock Depredation (Forest) | Indirect Experience | 0.113** | -0.006 | 0.106* | — |
| Risk of Village-based Tiger Incidents | Direct Experience | -0.005 | 0.045* | 0.040 | Beliefs |
| Indirect Experience | 0.192** | -0.013 | 0.179** | — | |
| Tiger Population | 0.188** | — | 0.188** | — | |
| Affective Risk Perception | Tiger Population | 0.162** | — | 0.162** | — |
| Tolerance | Direct Experience | — | -0.178** | -0.178** | Beliefs |
| Beliefs | 0.632** | 0.010 | 0.642** | Risk of Attack on People (Forest) | |
| Tiger Population | -0.111* | -0.041 | -0.153** | Risk of Village-based Tiger Incidents Risk of Attack on People (Forest)Affective Risk Perception | |
| Risk of Livestock Depredation (Forest) | 0.153** | — | 0.153** | — |
a Mediator variables upon which the independent variable in question had a significant direct effect.
* significant at the 0.05 level
** significant at the 0.01 level.
Total effect weight is the sum of the direct and indirect effect weights for each pair of variables presented. Note that variables can simultaneously be independent and dependent in structural equation modelling due to the hierarchical nature of models. Beliefs: Beliefs about tigers. Tiger Population: beliefs about current tiger population trend.