Table 5.
Logistic regression analyses predicting the denominator neglect bias (Survey 2).
| Model 1 | Model 2 | |||||||||
|---|---|---|---|---|---|---|---|---|---|---|
| Variables | β | SE (β) | Wald's χ2 | p | Odds ratio [95% CI] | β | SE (β) | Wald's χ2 | p | Odds ratio [95% CI] |
| Constant | 0.66 | 0.22 | 9.23 | 0.002 | 1.94 | 0.47 | 0.14 | 11.26 | <0.001 | 1.60 |
| IMC Order (Last = 0, First = 1) | −0.34 | 0.28 | 1.40 | 0.236 | 0.71 [0.41, 1.25] | |||||
| IMC Performance (Failure = 0, Pass = 1) | 0.37 | 0.31 | 1.42 | 0.233 | 1.44 [0.79, 2.63] | 0.55 | 0.21 | 6.84 | 0.009 | 1.73 [1.15, 2.61] |
| Order × Performance | 0.31 | 0.42 | 0.55 | 0.460 | 1.37 [0.60, 3.14] | |||||
| MODEL EVALUATION | ||||||||||
| χ2 | 8.36 | 6.94 | ||||||||
| df | 3 | 1 | ||||||||
| p | 0.039 | 0.008 | ||||||||
| Negelkerke's pseudo-R2 | 0.027 | 0.023 | ||||||||
| AIC | 27.84 | 15.32 | ||||||||
Low probability choice was coded as 0, high probability (rational) choice as 1.