### Data and Analyses
#### from the research article **"Handling distractor interference in mixed and fixed search"**
Hanne et al. (under rev.)
The **datasets** are provided in .csv format:
1) Dataset_DistractorInterference_agg.csv
2) Dataset_TaskPerformance.csv
3) Dataset_TimeCourseDLL.csv
4) Dataset_DistractorAbsent.csv
The **Bayesian Models** are provided in Jupyter Notebooks:
1) DistractorInterference_Notebook.ipynb
2) TaskPerformance_Notebook.ipynb
3) TimeCourseDLL_Notebook.ipynb
4) DistractorAbsent_Notebook.ipynb
Please note that in order to plot the prior predictive distributions, the file plots.py needs to be downloaded and imported in the notebooks (*from plots import plot_prior_predictive*)
The **Traces** can be used with the model implementations to avoid resampling the models:
1) DistractorInterference_trace.nc
2) TaskPerformance_trace.nc
3) TimeCourseDLL_trace.nc
4) DistractorAbsent_trace.nc
### Description of the data
Columns show different variables used in the datasets, rows represent individual participants.
| Dataset | Variable name | Conditions | Explanation|
|----| ------ | ----------- |-----------------------|
|1; 2; 3; 4| participant_number | | anonymization of the participants within each task
|1; 3; 4| condition | present, absent; high, low | the distractor was either present or absent; in distractor-present trials, the distractor appeared at either a high- or low-probability location|
|1; 2; 3; 4|session | 1, 2 | experimental session
|2; 3| epoch | 1-6 | epoch (4 experimental blocks per epoch)
|1; 2; 3; 4| task | mixed, color, gray | the target was either a mixed-feature target, a gray fixed-feature target or a color fixed-feature target
|1; 2; 4| correct | | number of target reports|
|1| distractor_reports | | number of distractor reports|
|1; 4| nontarget_reports | | number of nontarget reports|
|1; 2; 4| count | | number of trials per condition |
|1; 2; 3; 4| participant | | number consecutive across the three tasks |
|3| difference | | aggregated distractor reports relative to nontarget reports |
|4| target_location | high, low | the target was either presented at the high- or low-probability location of the distractor |
