Table 3.
Variables | A mental health professional can help the condition |
|||||||
---|---|---|---|---|---|---|---|---|
Equation 1 |
Equation 2 |
Equation 3 |
Equation 4 |
|||||
b | s.e. | b | s.e. | b | s.e. | b | s.e. | |
Main effect | ||||||||
African American | .18* | .07 | .15* | .08 | −.16 | .15 | .79* | .37 |
Demographic controls | ||||||||
Age | – | −.004** | .00 | −.004* | .00 | −.004** | .00 | |
Gender (Women = 1) | – | .16** | .05 | .16** | .06 | .17** | .05 | |
Improve on its own | – | −.12*** | .03 | −.18*** | .04 | |||
Seriousness | – | .13* | .05 | .20*** | .06 | |||
Interaction terms | ||||||||
Race × Improve on own | – | .16* | .06 | |||||
Race × Seriousness | – | −.20 | .11 | |||||
Constant | 3.44 | .03 | 3.20 | .22 | 3.70 | .14 | 2.73 | .22 |
R 2 | .010 | .081 | .081 | .061 |
p < .05
p < .01
p < .001.
The number of cases differs slightly for each dependent variable because we excluded respondents with missing data on those variables. Missing values for predictor variables were replaced using conditional mean imputation (Allison 2002)