Table 5.
Predictor | Model 1: Openness | Model 2: Concern | Model 3: Benefit | ||||||
---|---|---|---|---|---|---|---|---|---|
B | 95% CI | β | B | 95% CI | β | B | 95% CI | β | |
Age | − 0.01 | [− 0.01, 0.00] | − 0.07* | 0.00 | [0.00, 0.00] | 0.00 | 0.00 | [− 0.01, 0.00] | − 0.03 |
Sex | 0.08 | [− 0.02, 0.18] | 0.05 | − 0.22 | [− 0.32, − 0.12] | − 0.13*** | − 0.07 | [− 0.15, 0.02] | − 0.04 |
Race | − 0.01 | [− 0.14, 0.11] | − 0.01 | − 0.00 | [− 0.12, 0.12] | − 0.00 | − 0.12 | [− 0.22, − 0.01] | − 0.06* |
Ethnicity | 0.05 | [− 0.14, 0.23] | 0.01 | − 0.15 | [− 0.33, 0.03] | − 0.05 | − 0.11 | [− 0.26, 0.05] | − 0.04 |
Employment status | 0.27 | [0.16, 0.37] | 0.14*** | − 0.24 | [− 0.35, − 0.13] | − 0.14*** | |||
Health status | − 0.23 | [− 0.36, − 0.09] | − 0.11** | ||||||
Health system trust | 0.04 | [0.02, 0.06] | 0.12*** | − 0.06 | [− 0.08, − 0.04] | − 0.20*** | |||
Trust in technology | 0.17 | [0.12, 0.21] | 0.25*** | − 0.10 | [− 0.14, − 0.06] | − 0.16*** | 0.12 | [0.08, 0.16] | 0.22*** |
Faith in technology | 0.22 | [0.15, 0.29] | 0.21*** | 0.30 | [0.24, 0.37] | 0.34*** | |||
Conscientiousness | − 0.06 | [− 0.10, − 0.02] | − 0.09** | 0.12 | [0.08, 0.16] | 0.18*** | |||
Agreeableness | 0.10 | [0.06, 0.14] | 0.15*** | ||||||
Extraversion | − 0.04 | [− 0.07, − 0.01] | − 0.08** | ||||||
Social conservatism | 0.00 | [0.00, 0.00] | − 0.07* | ||||||
Economic conservatism | 0.00 | [− 0.01, 0.00] | − 0.07* | ||||||
R2 | .26*** | .21*** | .25*** |
N = 916. Age, sex, race, and ethnicity entered in a first step as control variables. Age is continuous. Variables are coded as follows: Sex (1 male; 0 female), race (1 White; 0 non-White), and ethnicity (1 Latino; 0 not-Latino). Employment status (1 full-time; 0 other); health status (1 good/very good/excellent; 0 poor/fair)
*p < .05; **p < .01; ***p < .001