Skip to main content

Advertisement

Table 3 Repeated measure analysis with the linear mixed model for Patient Falls and Patient Injury Falls for 2007 NDNQI 3rd quarter

From: The Box-Cox power transformation on nursing sensitive indicators: Does it matter if structural effects are omitted during the estimation of the transformation parameter?

Source of Variation distribution Degree of Freedom F-Value Prob > F Residual goodness-of-fit test for normal
Indicator: Total Falls (transformation with additive effect)
Teaching Status 2 2.36 0.0945  
Magnet Status 1 3.83 0.0505  
Teaching × Magnet 2 5.15 0.0058 0.071
Indicator: Total Falls (transformation without additive effect)
Teaching Status 2 2.73 0.065  
Magnet Status 1 5.91 0.0151  
Teaching × Magnet 2 7.14 0.0008 0.023
Indicator: Total Falls (no transformation)  
Teaching Status 2 2.14 0.1178  
Magnet Status 1 5.90 0.0151  
Teaching × Magnet 2 6.94 0.001 0.097
Indicator: Total Injury Falls (transformation with additive effect)
Teaching Status 2 1.83 0.1603  
Magnet Status 1 9.37 0.0022  
Teaching × Magnet 2 4.14 0.016 0.117
Indicator: Total Injury Falls (transformation without additive effect)
Teaching Status 2 1.37 0.2536  
Magnet Status 1 9.78 0.0018  
Teaching × Magnet 2 4.45 0.0118 0.029
Indicator: Total Injury Falls (no transformation)
Teaching Status 2 6.55 0.0014  
Magnet Status 1 3.63 0.0569  
Teaching × Magnet 2 3.29 0.0373 0.146
  1. Repeated measure analysis for Patient Falls and Patient Injury Falls for a) No transformation, b) transformed without structural effects), and c) transformed with structural effects. Residual goodness-of-fit tests for normal distribution is based on Kolmogorov-Smirnov statistic.