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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.