Dependent Variable

Explained variance (R
^{2})



Null vs. Model 1^{1}

Model 1 vs. Model 2^{2}

Model 1 vs. Model 3^{3}

Model 2 vs. Model 3^{4}


Leadership

7.16%

14.02%

33.89%

23.11%

Culture

35.81%

6.85%

98.05%

97.90%

Evaluation

1.11%

16.62%

77.70%

73.25%

Social Capital

14.37%

7.57%

87.62%

88.49%

OSStaffing

20.08%

1.86%

16.85%

15.27%

OSSpace

2.72%

1.30%

46.87%

47.55%

OSTime

18.07%

1.19%

44.22%

43.55%

Formal interactions

20.52%

16.73%

29.98%

15.91%

Informal
interactions

24.46%

4.91%

67.44%

68.96%

Structural and
electronic resources

91.69%

7.71%

41.73%

45.90%


^{1} R
^{2} = 1  (τ_{1}/τ_{0}) where τ_{0} and τ_{1} is the estimated unitlevel error variance for the null model and model 1. This measure implies the contribution of individual level covariates in terms of relative error variance reduction when individual level covariates were added to null model.

^{2} R
^{2} = 1  (τ_{2}/τ_{1}) where τ_{1} and τ_{2} is the estimated unitlevel error variance for models 1 and 2. This measure implies the contribution of specialty in terms of relative error variance reduction when specialty was added to model 1.

^{3} R
^{2} = 1  (τ_{3}/τ_{1}) where τ_{1} and τ_{3} is the estimated unitlevel error variance for the model 1 and 3. This measure implies the contribution of specialty and unit level relative covariates in terms of error variance reduction when specialty and unit level covariates were added to model 1.

^{4} R
^{2} = 1  (τ_{3}/τ_{2}) where τ_{2} and τ_{3} is the estimated unitlevel error variance for the model 2 and 3. This measure implies the contribution of specialty and unitlevel relative covariates in terms of error variance reduction when unitlevel covariates were added to model 2.
 Note: negative R
^{2} reported intext as '0'