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. Author manuscript; available in PMC: 2013 Jun 1.
Published in final edited form as: Res Nurs Health. 2012 Feb 29;35(3):265–276. doi: 10.1002/nur.21467

Table 2.

Random Intercept Models for Job Satisfaction, Intent to Stay, and Patient Satisfaction Based on the Effects of Nurses Nested in Units and Hospitals

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 **
a

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.

b

Two-level simple random effects model for nursing units nested in hospitals