Table 3.
R2 | Predictors | B | SE | β | t | Lower bound | Upper bound | |
---|---|---|---|---|---|---|---|---|
Whites (n = 944) | ||||||||
Step 1 | 0.06** | Age | 0.02 | 0.02 | 0.04 | 1.07 | −0.02 | 0.06 |
Income | −1.05 | 0.20 | −0.19 | −5.24** | −1.44 | −0.65 | ||
Gender | −3.34 | 0.66 | −0.17 | −5.10** | −4.63 | −2.06 | ||
Education | −0.12 | 0.29 | −0.14 | −0.40 | −0.69 | 0.46 | ||
Step 2 | 0.08*** | Personal impact | 2.79 | 0.32 | 0.29 | 8.88** | 2.17 | 3.41 |
0.09*** | Property damage | 2.02 | 0.21 | 0.31 | 9.56*** | 1.61 | 2.44 | |
0.22*** | Loss of services | 3.31 | 0.21 | 0.49 | 15.90*** | 2.90 | 3.72 | |
African American (n = 162) | ||||||||
Step 1 | 0.24** | Age | 0.26 | 0.06 | 0.32 | 4.15** | 0.14 | 0.38 |
Income | −2.22 | 0.56 | −0.34 | −3.97** | −3.33 | −1.12 | ||
Gender | 1.70 | 1.93 | 0.07 | 0.88 | −2.11 | 5.52 | ||
Education | −2.27 | 0.87 | −0.23 | −2.62** | −3.98 | −0.56 | ||
Step 2 | 0.02 | Personal impact | 1.42 | 0.81 | 0.14 | 1.77 | −0.17 | 3.02 |
0.11*** | Property damage | 2.99 | 0.63 | 0.34 | 4.76*** | 1.75 | 4.23 | |
0.07** | Loss of services | 2.13 | 0.55 | 0.29 | 3.84*** | 1.03 | 3.23 | |
Latino (n = 74) | ||||||||
Step 1 | 0.05 | Age | 0.06 | 0.08 | 0.11 | 0.82 | −0.09 | 0.21 |
Income | −1.01 | 0.75 | −0.20 | −1.35 | −2.52 | 0.50 | ||
Gender | −1.80 | 2.34 | −0.11 | −0.77 | −6.50 | 2.89 | ||
Education | 0.04 | 0.98 | 0.01 | 0.04 | −1.92 | 2.00 | ||
Step 2 | 0.35*** | Personal impact | 5.23 | 0.92 | 0.66 | 5.71*** | 3.39 | 7.06 |
0.03 | Property damage | 0.86 | 0.71 | 0.16 | 1.22 | −0.55 | 2.28 | |
0.13** | Loss of services | 1.90 | 0.65 | 0.38 | 2.93*** | 0.60 | 3.20 |
Statistics from step 2 are reported from models that include only a single variable for disaster variable to reduce the suppression effects caused by the inclusion of multiple disaster variables. Selection of disaster variables was chosen based on significant interactions
p<0.05
p<0.01
p<0.0001