Table 2.
Fixed effects coefficients | |||
---|---|---|---|
| |||
Job satisfaction modela (n = 1,450) |
Intent to stay modela (n = 1,450) |
Patient satisfaction modelab (n = 239) |
|
Control variables | |||
Age | .00 | .01 ** | −.00 |
Male | −.12 | −.04 | −.25 |
Hispanic | .01 | .10 | −.20 |
American Indian | −.03 | .43 | −.01 |
African American | .10 | .19 | −.26 * |
Asian | −.41 * | −.91 | −.44 |
Race-other | −.04 | −.30 | −.42 |
Diploma | −.00 | .03 | .07 |
Associate | −.04 | −.09 | .12 |
Graduate | .07 | .44 | .05 |
Diversity variables | |||
Age diversity | .00 | .01 * | .00 |
Gender diversity | .02 | .02 | .11 |
Race/ethnicity diversity | .13 * | .04 | .07 |
Education diversity | −.01 | −.65 * | .04 |
Perceived value diversity | −.27 ** | −.90 ** | −.12 ** |
Intercept | 4.57 ** | 5.99 ** | 3.59 ** |
The likelihood-ratio test comparing this model to ordinary linear regression was significant (p < .001) indicating that between-unit and between-hospital variability were significant.
Two-level simple random effects model for nursing units nested in hospitals