# What's fair
Repository with data, materials, figures, and analysis scripts for the paper "What's fair? How children assign reward to members of teams with differing causal structures" (Koskuba, Gerstenberg, Gordon, Lagnado, Schlottmann). If you have any questions, please contact [tger@mit.edu](tger@mit.edu).
## Data
- `data_aggregate.csv`: Data in aggregate form for each participant.
- `data_raw.csv`: Raw data (with legend).
## Code
### R
- `model_prediction.csv`: Model predictions
- `modeling.R`: R script that generates model results and plots
- `modeling.html`: Results summary file
+ You can view the summary [here](https://rawgit.com/tobiasgerstenberg/whats_fair/master/code/r/modeling.html)
### flash
- `kids_darts_rules_sliders_constrained.fla`: Flash file used for running Experiment 1.
- `kids_darts_rules_sliders_unconstrained.fla`: Flash file used for running Experiment 2.
### spss
- Analysis files and output files.
## Figures
- `figure1.pdf`: Diagrammatic illustration of the different experiment stages.
- `figure2.pdf`: Mean judgments in Experiment 1.
- `figure3.pdf`: Mean judgments in Experiment 2.
- `figure4.pdf`: Judgments going counter to the outcome in Experiment 2 (e.g. reducing sweets for positive outcomes, or increasing sweets for negative outcomes).
- `figure5.pdf`: Predictions of the different models.
- `figure6.pdf`: Judgments separated by participant clusters whose answers were best explained by the different candidate models.
## Notes
- `instructions.docx`: Verbatim study protocol.
