Table 2 Hierarchical linear modeling...

Table 2

Hierarchical linear modeling (HLM) results

	Model 1			Model 2			Model 3
	B	SE	p	B	SE	p	B	SE	p
Fixed effects
Intercept	2.303	0.030	^***	2.296	0.053	^***	4.105	0.339	^***
Unit size				0.000	0.002		−0.001	0.002
Individual diversity perceptions							−0.323	0.028	^***
Others' diversity perceptions							−0.165	0.077	^*
Racial diversity							0.241	0.138	^t
Gender diversity							0.504	0.164	^**
Random effects
Residual	0.990	0.031	^***	0.990	0.031	^***	0.937	0.029	^***
Intercept	0.047	0.015	^**	0.045	0.015	^**	0.015	0.009	^t
ICC(1)	0.05			0.05			0.02
Information criteria
−2 Log likelihood	6149.028			6159.550			6003.334
Δχ²				−10.522			156.216		^***
AIC	6153.028			6163.550			6007.334
BIC	6164.371			6174.893			6018.672
R²	0.00			0.00			0.08		^***
ΔR²				0.00			0.08

	Model 1			Model 2			Model 3
	B	SE	p	B	SE	p	B	SE	p
Fixed effects
Intercept	2.303	0.030	^***	2.296	0.053	^***	4.105	0.339	^***
Unit size				0.000	0.002		−0.001	0.002
Individual diversity perceptions							−0.323	0.028	^***
Others' diversity perceptions							−0.165	0.077	^*
Racial diversity							0.241	0.138	^t
Gender diversity							0.504	0.164	^**
Random effects
Residual	0.990	0.031	^***	0.990	0.031	^***	0.937	0.029	^***
Intercept	0.047	0.015	^**	0.045	0.015	^**	0.015	0.009	^t
ICC(1)	0.05			0.05			0.02
Information criteria
−2 Log likelihood	6149.028			6159.550			6003.334
Δχ²				−10.522			156.216		^***
AIC	6153.028			6163.550			6007.334
BIC	6164.371			6174.893			6018.672
R²	0.00			0.00			0.08		^***
ΔR²				0.00			0.08

Note(s): ***p < 0.001; **p < 0.01; *p < 0.05; ^tp < 0.10; Dependent Variable = Facades of Conformity; n = 2,122 employees nested within 151 units at a single hospital site; AIC = Akaike's Information Criteria; BIC = Schwarz's Bayesian Criterion

[ViewLarge]

Sharing Unavailable