Observing others give & take: A computational account of bystanders’ feelings and actions
Fig 7
Model specification. (A) Model specification. Each row corresponds to a model, each column represents a parameter. Grey colour indicates that the parameter is included in the model. For example, the first row corresponds to model 1, which include selfishness only. Note that all the models also include a constant. (B, C) Model selection. Log delta BIC (difference between each model and the best model) is shown for (B) Experiment 1 & (C) Experiment 2. The green circle indicates the best model. Non-transformed ΔBIC between best model and second-best model > 50. (For additional information on model fit metric and ranking see Table B in S1 Text.) Parameter recovery. Each row corresponds to a model and the columns represent the regressors. Coloured values correspond to the Pearson correlation r between the true parameters that generated the data and the estimated parameters in Experiment 1 (D) and 2 (E). The black colour is used when there is no parameter for this model. All the Pearson r are significant at p < 0.0001. Model recovery analysis. The x-axis shows the model number which was used to simulate data and the y-axis the model number which was fit to the simulated data. The black color shows which model best fit the simulated data (compared to the second-best model using a ΔBIC > 30) for feelings simulated data in Experiment 1 (F) and 2 (G) The diagonal line indicates perfect model recovery. In other words, the model used to simulate the data was also the model that best fit that data. See methods for details.