Table 2. Linear regression model evaluating associations between behavioral intentions and pre-specified covariates.
Total Score (R2 = 0.11) | Personal Score (R2 = 0.10) | Social Score (R2 = 0.10) | |||||||
---|---|---|---|---|---|---|---|---|---|
Effect | Mean Estimate | SE | P | Mean Estimate | SE | P | Mean Estimate | SE | P |
Scenario 2 v. 1 | -0.14 | 0.06 | 0.016 | -0.12 | 0.06 | 0.045 | -0.18 | 0.07 | 0.011 |
Scenario 3 v. 1 | 0.35 | 0.06 | <0.001 | 0.31 | 0.06 | <0.001 | 0.42 | 0.07 | <0.001 |
Scenario 3 v. 2 | 0.49 | 0.06 | <0.001 | 0.42 | 0.06 | <0.001 | 0.60 | 0.07 | <0.001 |
Age (+1y) | 0.00 | 0.00 | 0.036 | 0.00 | 0.00 | 0.177 | -0.01 | 0.00 | 0.006 |
Gender (Ref = Male) | 0.024 | 0.011 | 0.137 | ||||||
Female | -0.13 | 0.05 | 0.009 | -0.15 | 0.05 | 0.002 | -0.09 | 0.06 | 0.147 |
Prefer to self-describe | -0.34 | 0.29 | 0.228 | -0.25 | 0.28 | 0.371 | -0.50 | 0.35 | 0.157 |
Prefer not to say | -0.65 | 0.42 | 0.124 | -0.59 | 0.42 | 0.162 | -0.75 | 0.52 | 0.148 |
Race/Ethnicity (Ref = White) | 0.854 | 0.316 | 0.897 | ||||||
Hispanic | -0.06 | 0.09 | 0.458 | -0.09 | 0.09 | 0.289 | -0.02 | 0.11 | 0.875 |
Black or African American | 0.04 | 0.09 | 0.633 | 0.10 | 0.09 | 0.266 | -0.06 | 0.12 | 0.613 |
Asian | -0.04 | 0.09 | 0.607 | -0.12 | 0.09 | 0.150 | 0.09 | 0.11 | 0.376 |
Native Hawaiian or Pacific Islander | 0.42 | 0.80 | 0.596 | 0.94 | 0.79 | 0.239 | -0.47 | 0.99 | 0.632 |
American Indian or Alaskan Native | -0.37 | 0.33 | 0.261 | -0.34 | 0.33 | 0.291 | -0.41 | 0.41 | 0.313 |
Some other race, ethnicity, or origin | -0.06 | 0.30 | 0.837 | 0.00 | 0.30 | 0.995 | -0.17 | 0.38 | 0.654 |
Prefer not to say | 0.21 | 0.27 | 0.447 | 0.23 | 0.27 | 0.385 | 0.16 | 0.34 | 0.641 |
Political Affiliation (Ref = Republican) | <0.001 | <0.001 | <0.001 | ||||||
Democrat | -0.36 | 0.06 | <0.001 | -0.32 | 0.06 | <0.001 | -0.42 | 0.08 | <0.001 |
Independent | -0.13 | 0.07 | 0.041 | -0.15 | 0.07 | 0.021 | -0.10 | 0.08 | 0.197 |
Education (Ref = 8th grade or less) | 0.587 | 0.445 | 0.861 | ||||||
Some high school, but did not graduate | 0.07 | 0.85 | 0.935 | -0.20 | 0.84 | 0.816 | 0.53 | 1.05 | 0.611 |
High school graduate or GED | 0.07 | 0.80 | 0.929 | -0.17 | 0.80 | 0.835 | 0.49 | 0.99 | 0.623 |
Some college or 2-year degree | 0.16 | 0.80 | 0.838 | -0.07 | 0.79 | 0.930 | 0.57 | 0.99 | 0.562 |
4-year college degree | 0.14 | 0.80 | 0.865 | -0.11 | 0.79 | 0.891 | 0.56 | 0.99 | 0.568 |
More than 4-year college degree | 0.23 | 0.80 | 0.775 | 0.00 | 0.80 | 0.999 | 0.62 | 0.99 | 0.528 |
Residence (Ref = House/condo/townhouse) | 0.807 | 0.600 | 0.931 | ||||||
Apartment | -0.07 | 0.06 | 0.228 | -0.09 | 0.06 | 0.111 | -0.03 | 0.07 | 0.661 |
Dormitory | -0.24 | 0.80 | 0.770 | 0.10 | 0.80 | 0.901 | -0.82 | 1.00 | 0.410 |
Assisted Living Facility | -0.10 | 0.80 | 0.898 | -0.16 | 0.80 | 0.843 | -0.01 | 0.99 | 0.995 |
Other | -0.08 | 0.26 | 0.747 | -0.12 | 0.26 | 0.641 | -0.02 | 0.32 | 0.952 |
Pre-specified multi-variable regression analysis based on the pre-specified covariates. Pre-specified variables included: age, sex, race/ethnicity, political affiliation, education level, location, and type of residence. Mean estimate refers to mean absolute estimate difference compared to the reference group, and SE refers to Standard Error. Statistically significant differences were shown through bolded p-values. R2 refers to the amount of variance within the dependent variable that is explained by the independent variables in the regression model.