# Overview of open materials
Open data associated with the manuscript "Anxious and obsessive-compulsive traits are independently associated with willingness to pay for non-instrumental information" (Bennett, Sutcliffe, Tan, Smillie & Bode).
This information is also included in the file readme.pdf in the repository.
## Open data
The OSF repository contains three raw csv datafiles:
#### meta_data.csv
This file contains deidentified metadata for participants completing the study. Fields are:
- *id*: a participant-specific ID code that can be used to link metadata to behavioural data
- *age*: age in years at time of testing
- *gender*: gender identity
- *obsessive_compulsive_inventory*: total score from the IPIP version of the Obsessive-Compulsive Inventory
- *rigid_perfectionism*: mean score from the Rigid Perfectionism scale of the Personality Inventory for DSM-5
- *need_order_cleanliness*: total score from the IPIP version of the Need for Order and Cleanliness scale
- *bfi2_organisation*: mean score from the Organisation subscale of the BFI-2
- *bfas_orderliness*: mean score from the Orderliness subscale of the BFAS
- *bfi2_anxiety*: mean score from the Anxiety subscale of the BFI-2
- *bfi2_emotional_volatility*: mean score from the Emotional Volatility subscale of the BFI-2
- *bfas_withdrawal*: mean score from the Withdrawal subscale of the BFAS
- *bfas_emotional_volatility*: mean score from the Emotional Volatility subscale of the BFAS
- *intolerance_of_uncertainty*: total score from the Intolerance of Uncertainty scale
- *TRAIT_structure_control*: factor score for the latent Need for Structure and Control trait
- *TRAIT_anxiety*: factor score for the latent Anxiety/Negative Emotionality trait
- *TRAIT_obsessive_compulsion*: factor score for the latent Obsessive Compulsion trait
- *PAR_phi_free*: median parameter estimate for the phi_free parameter
- *PAR_phi_cost*: median parameter estimate for the phi_cost parameter
- *PAR_k_mean*: median parameter estimate for the k_mean parameter
- *PAR_k_var*: median parameter estimate for the k_var parameter
- *PAR_log_beta*: logarithm of the median parameter estimate for the beta parameter
#### behav_data_by_condition.csv
Behavioural data per condition (3 cost conditions x 3 lottery conditions) for each participant. Fields are:
- *ID*: a participant-specific ID code that can be used to link metadata to behavioural data
- *taskOrder*: whether participants completed the task first (f) or the questionnaires first (l)
- *cond*: lottery payout condition
- *winOutcome*: win amount in this lottery payout condition
- *lossOutcome*: loss amount in this lottery payout condition
- *cost*: cost placed on the informative stimulus
- *nChoices*: number of such choices presented to the participant. This is typically 20 but may be less if a participant failed to respond on some trials.
- *nInfoChoices*: number of choices to observe the informative stimulus (divide by *nChoices* to get a proportion)
#### behav_data.csv
Behavioural data per trial for each participant. This may be more useful for trial-by-trial modelling. Fields are:
- *ID*: a participant-specific ID code that can be used to link metadata to behavioural data
- *taskOrder*: whether participants completed the task first (f) or the questionnaires first (l)
- *cond*: lottery payout condition
- *winOutcome*: win amount in this lottery payout condition
- *lossOutcome*: loss amount in this lottery payout condition
- *cost*: cost placed on the informative stimulus
- *infoChosen*: whether the informative stimulus (1) or the non-informative stimulus (0) was chosen on this trial
## Open code
This repository contains fourteen code files used in data analysis. Package dependencies: here, Hmisc, stats, ppcor.
#### correlations.R
- This file contains R code for reproducing correlations reported in Tables 2-4 and Supplementary Tables 2-3, as well as partial correlation analyses reported in text.
#### model1.stan, model2.stan, ... , model13.stan
- Each file contains the code used to sample from one of the 13 Stan models tested.
