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Table 4 The logistic regression Lens Model Equation parameters of paper case simulation based judgements and physical simulation based judgements (N = 97)

From: The effect of improving task representativeness on capturing nurses’ risk assessment judgements: a comparison of written case simulations and physical simulations

  Paper case Physical simulation Difference
Logistic regression Lens Model Equation parameters Mean (SD) Median Mean (SD) Median Wilcoxon statistic (p)
ra 0.552 (0.141) 0.577*# 0.502 (0.145) 0.503# 2.58 (0.01)
G 0.720 (0.126) 0.723*# 0.687 (0.141) 0.696*# 1.95 (0.051)
C1 0.059 (0.189) 0.000*# 0.050 (0.165) 0.000* 0.32 (0.75)
C2 0.010 (0.060) 0.000* 0.002 (0.073) 0.000*# 1.39 (0.17)
C3 0.075 (0.137) 0.056*# 0.054 (0.122) 0.029*# 1.26 (0.21)
σ Y ˜ e / σ Y e 0.743 (0) 0.743 0.743 (0) 0.743  
σ Z ˜ e / σ Y e 0.676 (0) 0.676 0.676 (0) 0.676  
σ Y ˜ s / σ Y s 0.880 (0.150) .999*# 0.862 (0.173) 0.999*# 0.38 (0.70)
σ Z ˜ s / σ Y s 0.309 (0.340) 0.000# 0.326 (0.356) 0.000# 1.38 (0.17)
  1. ra: Judgement accuracy; G: Knowledge; C1, C2, C3: Unmodeled knowledge.
  2. Note: Both environmental criterion and judgement are dichotomous. * Skew significantly different from 0; # Kurtosis significantly different from 3.