Table 6.
Contribution of Individual, Specialty, and Unit-Level Variables using R2
Dependent Variable | Explained variance (R2) | |||
---|---|---|---|---|
Null vs. Model 11 | Model 1 vs. Model 22 | Model 1 vs. Model 33 | Model 2 vs. Model 34 | |
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% |
OS-Staffing | 20.08% | 1.86% | 16.85% | 15.27% |
OS-Space | 2.72% | -1.30% | 46.87% | 47.55% |
OS-Time | 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 R2 = 1 - (τ1/τ0) where τ0 and τ1 is the estimated unit-level 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 R2 = 1 - (τ2/τ1) where τ1 and τ2 is the estimated unit-level 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 R2 = 1 - (τ3/τ1) where τ1 and τ3 is the estimated unit-level 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 R2 = 1 - (τ3/τ2) where τ2 and τ3 is the estimated unit-level error variance for the model 2 and 3. This measure implies the contribution of specialty and unit-level relative covariates in terms of error variance reduction when unit-level covariates were added to model 2.
Note: negative R2 reported in-text as '0'