Non-instrumental information and decisions under risk

Further information is available at GitHub (https://github.com/julian-matthews/information-availability-risk)

Here we provide R code and complete trial-by-trial data supporting our study of non-instrumental information availability and risky decision-making.

Code descriptionexp1_stats.R: statistics for Experiment 1exp2_stats.R: statistics for Experiment 2exp3_stats.R: statistics for Experiment 3group_stats.R: pooled statistics including data from all experimentsinformation-model-comparison.R: model comparison and boostrap simulations
Data descriptionBehavioural dataexp_version: the experiment in our study; EXP1, EXP2, or EXP3subject_num: the unique ID for each of 71 participant across out experimentstrial_num: the trial number from 1 to 180information: non-instrumental information availability, reflected in the number of slots with veridical information from 0 to 5stake: the amount of money that can be won or lost on the trial. Fixed at 50 cents for EXP1. Varies from 10 to 50 cents (in 10 cent increments) for EXP2 and EXP3.decision: whether the gamble was accepted (1) or rejected (0). Coded (NA) if no response was made within the 5 second response window.reaction_time: the amount of time it took to make a decisionoutcome: the predetermined outcome of the gamble (if the participants chooses to accept)early_late: in EXP3 only, whether information was available at the earliest or latest opportunity (analysed for information levels 1:4)
Modeling dataexp_version: as abovesubject_num: as abovetrial_num: as aboveinformation: as abovedecision: as abovemod2_linear: information value in model 2mod3_entropy: information value in model 3mod4_res_uncertainty: information value in model 4