Table 5.
Hierarchical regression analysis for variables relating to concerns about future discrimination. Italics indicates significant results.
| Step and variable | Model 1 | Model 2 | R2 change | F change | P value | ||||||||||||||
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βa | P value | β | P value |
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| Step 1: Demographic variables | .114 | 2.74 | .005 | ||||||||||||||||
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Age | –.27 | .002 | –.26 | .003 |
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Years in the United States | .17 | .047 | .21 | .02 |
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Sex | –.03 | .73 | –.04 | .56 |
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Chinese | .15 | .04 | .15 | .04 |
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Visitor | –.03 | .68 | –.04 | .55 |
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Education | –.01 | .89 | –.02 | .83 |
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Employment | –.08 | .29 | –.07 | .37 |
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Income | .03 | .71 | .03 | .71 |
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Political orientation | –.11 | .11 | –.10 | .17 |
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| Step 2: COVID-19 media source | .052 | 2.34 | .04 | ||||||||||||||||
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—b | — | .07 | .39 |
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Radio | — | — | -.01 | .92 |
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TV | — | — | .04 | .59 |
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News website or app | — | — | .06 | .38 |
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Social media | — | — | .20 | .005 |
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aAll beta coefficients are standardized regression coefficients.
bNot applicable.