Information uncertainty influences learning strategy from sequentially delayed rewards
Fig 5
Effect of condition and stage order group on computational model parameters.
A mixed-effects linear regression model was applied to each RL parameter from their yoked independent model, predicting the parameter value from condition, stage order group, and their interaction (equation 3). Specifically, this regression was performed on the decision weight - Beta - for both tabular (A) and eligibility (B), decay rate - Lambda - for tabular (C), eligibility (D), as well as the learning rate - Alpha - across tabular (E) and eligibility (F). The results display estimated marginal means, marked with arrows pointing towards the participants’ final condition (Conjoint and Disjoint) and the two groups based on the order of stages, namely from conjoint stage 1 to disjoint stage 2 (C → D, black) and from disjoint stage 1 to conjoint stage 2 (D → C, grey). Shaded areas represent 95% confidence intervals. Additionally, individual dots and lines show parameter estimates for each participant. The top left corner of the results highlights the p-value associated with the main effect of the condition (C), the main effect of the stage (S), or their interaction (C * S).