Table 2.
R2 | Predictors | B | SE | β | t | Lower bound | Upper bound | |
---|---|---|---|---|---|---|---|---|
Whites (n = 944) | ||||||||
Step 1 | 0.06** | Age | 0.01 | 0.01 | 0.02 | 0.44 | −0.02 | 0.03 |
Income | −0.59 | 0.11 | −0.19 | −5.25** | −0.82 | −0.37 | ||
Gender | −1.16 | 0.37 | −0.11 | −3.13** | −1.89 | −0.43 | ||
Education | −0.30 | 0.17 | −0.07 | −1.8 | −0.62 | 0.03 | ||
Step 2 | 0.06** | Personal impact | 1.31 | 0.18 | 0.24 | 7.25** | 0.96 | 1.66 |
0.04** | Property damage | 0.73 | 0.12 | 0.20 | 5.92** | 0.49 | 0.98 | |
0.12** | Loss of services | 1.37 | 0.13 | 0.36 | 10.89** | 1.13 | 1.62 | |
African American (n = 162) | ||||||||
Step 1 | 0.24** | Age | 0.14 | 0.03 | 0.34 | 4.30** | 0.07 | 0.20 |
Income | −0.63 | 0.28 | −0.2 | −2.21** | −1.19 | −0.07 | ||
Gender | −0.16 | 0.98 | −0.01 | −0.17 | −2.10 | 1.77 | ||
Education | −1.62 | 0.44 | −0.34 | −3.68** | −2.49 | −0.75 | ||
Step 2 | 0.03* | Personal impact | 0.86 | 0.41 | 0.17 | 2.11* | 0.05 | 1.66 |
0.13** | Property damage | 1.63 | 0.32 | 0.38 | 5.16** | 1.01 | 2.25 | |
0.03* | Loss of services | 0.68 | 0.29 | 0.19 | 2.32* | 0.10 | 1.25 | |
Latino (n = 74) | ||||||||
Step 1 | 0.05 | Age | 0.06 | 0.05 | 0.17 | 1.27 | −0.04 | 0.16 |
Income | −0.39 | 0.49 | −0.12 | −0.78 | −1.38 | 0.60 | ||
Gender | −0.77 | 1.54 | −0.07 | −0.5 | −3.85 | 2.31 | ||
Education | −0.02 | 0.64 | −0.01 | −0.04 | −1.31 | 1.26 | ||
Step 2 | 0.25** | Personal impact | 2.91 | 0.65 | 0.56 | 4.50** | 1.61 | 4.21 |
0.02 | Property damage | 0.56 | 0.46 | 0.16 | 1.21 | −0.37 | 1.49 | |
0.11* | Loss of services | 1.13 | 0.43 | 0.33 | 11.24* | 0.27 | 2.00 |
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