Disentangling choice value and choice conflict in sequential decisions under risk
Fig 3
Regression analyses Experiment 1.
The left column shows the results of the logistic model fit on choice data, while the right column shows the results of the linear model fit on RTs. A Posterior distribution of the cumulative sum of rewards coefficient at the group level (the shaded area is the 95% HDI), when we predict the probability of stopping within a round. B Estimated logistic curve (colored shaded area) and the IP (grey shaded area) at the group level. C Distribution of trials before and after the estimated IP. D Posterior distributions of the round number, draw number within a round, and cumulative sum of rewards coefficients at the group level (the shaded area is the 95% HDI), when we predict RTs. E Posterior predictives of mean RT data as the probability of stopping increases within a round, against the mean RT data. F Comparison of the same posterior predictives, selectively at the points of maximum conflict and at the points of maximum probability of stopping. Here the vertical lines represent the data while the shaded bars are the predictions.