Table 2.
Nested logistic regression models of anticipated COVID-19 vaccine acceptance among religious populations (N = 1,070).
Variables | Model 1 | Model 2 | Model 3 |
---|---|---|---|
Race: African American (ref. White) | 0.19*** | 0.19*** | 0.19*** |
(0.12–0.29) | (0.11–0.31) | (0.11–0.33) | |
Race: Hispanic (ref. White) | 0.38*** | 0.35*** | 0.58+ |
(0.24–0.62) | (0.20–0.62) | (0.32–1.08) | |
Race: Asian American (ref. White) | 1.21 | 1.45 | 1.24 |
(0.54–2.73) | (0.60–3.53) | (0.47–3.32) | |
Race: Other (ref. White) | 0.48+ | 0.59 | 0.69 |
(0.20–1.15) | (0.28–1.25) | (0.33–1.45) | |
Trust in COVID-19 information from scientists (binary) | 7.59*** | 6.97*** | |
(4.83–11.93) | (4.26–11.42) | ||
Worrying about COVID-19 (binary) | 1.42+ | 1.59* | |
(0.99–2.03) | (1.08–2.35) | ||
Frequency of prayer (1–4 scale) | 0.79** | 0.83* | |
(0.68–0.93) | (0.70–0.98) | ||
Gender: Men (ref. Women) | 2.64*** | ||
(1.71–4.08) | |||
Age in years (continuous) | 0.93 | ||
(0.85–1.02) | |||
Age squared (interaction term) | 1.00* | ||
(1.00–1.00) | |||
Marital status: Married or in partnership (ref. Not married) | 1.25 | ||
(0.80–1.95) | |||
Household income (1–4 scale) | 1.24* | ||
(1.02–1.50) | |||
Education: College degree or higher (ref. Less than a college degree) | 1.53+ | ||
(0.97–2.42) | |||
Self-rated physical health (0–10 scale) | 1.06 | ||
(0.97–1.17) | |||
Political party: Republican or Independent (ref. Democrat) | 0.54** | ||
(0.35–0.82) | |||
Observations | 1,070 | 1,070 | 1,070 |
AIC | 940 | 833 | 790 |
BIC | 965 | 873 | 880 |
Chi-squared (deviance) | 930 | 817 | 754 |
Exponentiated coefficients of the nested logistic regressions (models 1–3) that represent the odds ratios of COVID-19 vaccine acceptance. Statistical significance at the 95% level: *** p < 0.001, ** p < 0.01, * p < 0.05, + p < 0.1 and 95% confidence intervals of the odds ratios are shown in parentheses. Robust standard errors have been employed for the calculation of the statistics.
Age, age squared, the frequency of prayer (originally ordinal), household income (originally ordinal) and self-rated physical health are treated as continuous variables. All other variables are employed as factors using binary/dummy codings.