Table 4.
|
War victims |
Crime victims |
Natural disaster |
Road fatalities |
||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|
Beta | p | R 2 | Beta | p | R 2 | Beta | p | R 2 | Beta | p | R 2 | |
Model 1 |
|
|
0.79* |
|
|
-0.39 |
|
|
0.15 |
|
|
-0.39 |
SVE |
1.01 |
0.003 |
|
-.077 |
0.86 |
|
.20 |
0.67 |
|
-.04 |
0.93 |
|
Aggregated Factor “Traditional” |
.03 |
0.92 |
|
-.34 |
0.67 |
|
-.11 |
0.88 |
|
-.38 |
0.64 |
|
Aggregated Factor “Modern” |
-.35 |
0.35 |
|
.57 |
0.49 |
|
-.49 |
0.53 |
|
.63 |
0.49 |
|
Model 2 |
|
|
0.82† |
|
|
-0.30 |
|
|
-1.06 |
|
|
0.36 |
SVE |
5.79 |
0.14 |
|
3.35 |
0.04 |
|
-1.26 |
0.73 |
|
-2.5 |
0.08 |
|
Aggregated Factor “Traditional” |
.63 |
0.43 |
|
-2.12 |
0.09 |
|
3.31 |
0.76 |
|
.40 |
0.82 |
|
Aggregated Factor “Modern” |
-.33 |
0.59 |
|
3.17 |
0.04 |
|
-4.21 |
0.69 |
|
-2.87 |
0.16 |
|
SVE x Aggregated Factor “Traditional” |
-3.99 |
0.59 |
|
.98 |
0.41 |
|
-5.59 |
0.76 |
|
-2.02 |
0.58 |
|
SVE x Aggregated Factor “Modern” |
.98 |
0.89 |
|
-4.4 |
0.044 |
|
7.62 |
0.73 |
|
6.5 |
0.17 |
|
Model 3 |
|
|
0.79† |
|
|
0.35 |
|
|
0.32 |
|
|
0.76† |
SVE |
2.82 |
0.48 |
|
.65 |
0.41 |
|
-2.54 |
0.28 |
|
-2.53 |
0.02 |
|
Conformity |
.04 |
0.87 |
|
-.64 |
0.14 |
|
-1.96 |
0.21 |
|
-4.87 |
0.12 |
|
Stimulation |
-.20 |
0.73 |
|
.81 |
0.09 |
|
-2.16 |
0.21 |
|
-1.62 |
0.09 |
|
SVE x conformity |
.08 |
0.73 |
|
1.28 |
0.11 |
|
1.88 |
0.21 |
|
4.68 |
0.12 |
|
SVE x stimulation | -1.76 | 0.68 | -1.96 | 0.07 | 2.80 | 0.31 | 4.01 | 0.02 |
Note: SVE = specific variable expression of the main variable included in the model (i.e. war victims, crime victims, natural disaster, road fatalities, respectively); R2 = variance expressed by the model; beta = standardized betas.
†p-valuesfor whole model testing= p< .1, *p < 0.05, **p <0.001.