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Table 6 Contribution of Individual, Specialty, and Unit-Level Variables using R 2

From: Assessment of variation in the alberta context tool: the contribution of unit level contextual factors and specialty in Canadian pediatric acute care settings

Dependent Variable Explained variance (R 2)
  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. 1 R 2 = 1 - (τ10) 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. 2 R 2 = 1 - (τ21) 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. 3 R 2 = 1 - (τ31) 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. 4 R 2 = 1 - (τ32) 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.
  5. Note: negative R 2 reported in-text as '0'