Table 3.
Independent association between demographic characteristics and coronavirus-related eHealth literacy.
| Variable | Standardized β coefficient | P value | |
| Age (continuous) | –.038 | .29 | |
| Income (continuous, 9 strata) | .023 | .21 | |
| Gender |
|
|
|
|
|
Male | Refa |
|
|
|
Female | –.003 | .92 |
| Ethnicity |
|
|
|
|
|
White | Ref |
|
|
|
Black | –.083 | .02 b |
|
|
Multiracial | –.018 | .60 |
|
|
Hispanic | –.006 | .86 |
|
|
Other | –.014 | .68 |
| Education |
|
|
|
|
|
Up to high school or GEDc | –.151 | .001 b |
|
|
Postsecondary (eg, trade school, some college, or associates) | –.079 | .09 |
|
|
Bachelor’s | –.007 | .87 |
|
|
Advanced degree (eg, Masters, Doctoral or Professional) | Ref |
|
aRef: reference value.
bItalicized values indicate statistical significance.
cGED: Tests of General Educational Development.