This project folder contains the parsed data from all 3 behavioural tasks, the code for the learning model and the link to the project preregistration. the data can be found in the csv file "negative_affective_bias_data_all_participants.csv": among other data, it contains the participants' demographic information, the parsed data of the ambigous-cue decision making task with the affective bias metric "average p mid as high", the parameters from the learning model and the fitted prospect theory model parameters.The file "negative_affective_bias_data.csv" contains the data of the participants included in the sensitivity analysis. The pre-registration for this project is linked in the components section or can be found here: https://osf.io/mnxut?mode=&revisionId=&view_only= You can also find the code for the learning model uploaded. The Rstan file "model_movingCriterion2.stan" is the model code and the R file "learning_experiment_modelling.R" fits the model to the data. Details to this model can also be found in the supplement.