Model comparison between near-miss to Weber’s law and Weber’s law.

In both models Equation 5 was fitted against observed individual discrimination performances. Lower Akaike Information Criterion (AIC) scores indicate a better fit of a model to the data, after penalizing for the number of estimated parameters. AIC scores can only be compared within rows but not between rows. ΔAIC gives the difference between the AIC scores for the model based on Weber’s law and the model based on the near-miss to Weber’s law. F and p values are based on one-way ANOVAs with 1 df.aThe exponent β was fixed with value one in the Weber’s law model and was estimated in the near-miss to Weber’s law model. Values in the middle are average estimates and the values to the left and right are the 95% confidence interval limits.bOne outlier was removed from the HIGH data set of Bat 4.