Date & models from "Target templates and the time course of distractor location learning" (Hanne et al., 2022) The **datasets** are provided in .csv format and are stored on osf or a connected git repository: - [OSF]**/DataFrameForNHSTAnalyses/Dataset_NHST.csv:** data used for frequentist interference - [git]**/LearningCurveAnalysis/data/Dataset_Learning_Curve_Model.csv:** data used for the learning curve model - [git]**/SpatialGradientOfSuppression/data/Dataset_Spatial_Gradient_of_Suppression_Model.csv:** data used to compute the shape of the spatial suppression gradient The **Bayesian models** are provided as PyMC implementations in Jupyter Notebooks with further explanations within the notebooks: - [OSF]**/LearningCurveAnalysis/LearningCurveAnalysis.ipynb** - [OSF]**/SpatialGradientOfSuppression/SpatialGradientOfSuppression.ipynb** Canned **traces** that can be used with the model implementation to avoid resampling the models are stored at: - [OSF]**/LearningCurveAnalysis/traces_versionXX/** - [OSF]**/SpatialGradientOfSuppression/traces/** For the learning curve analysis use the traces with the highest version number, unless you want to run an earlier version. The version numbers correspond to git releases. ### Description of the data Columns show different variables used in the datasets and rows represent a single trial of a single participant. | Variable name | Variable range | Explanation| | ------ | ----------- |-----------------------| | participant_number | double digits in singleton condition; triple digits in feature-specific condition | Anonymization of the participants | RT | max. 1400 ms | Time interval in milliseconds from search display onset to the response of the participants| | condition | high, low, distractor_absent | The distractor was either presented at the high-probability location, a low-probability location or absent| distractor_location | 0-7| Location at which the distractor was presented| target_location | 0-7| Location at which the target was presented| high_location | 0-7| Location at which the distractor was more frequently presented| trial_number | 1-336 | Number of trials in the experiment. The dataset contains the analyzed data and thus, some trials are excluded| block_number | 1-7; 0-7 | Number of blocks in the experiment. Block 0 refers to the practice block| | task | feature-specific, singleton | The target was either feature-specific or a shape singleton| distance| 0, 4.25, 7.85, 10.3| Euclidian distance of the distractor location to the high-prob. location|