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# README This repository provides the data and analysis code from Quirk, C., Adam, K., & Vogel, E. K. (2020). No Evidence for an Object Working Memory Capacity Benefit with Extended Viewing Time. eNeuro, 7(5), ENEURO.0150-20.2020. https://doi.org/10.1523/ENEURO.0150-20.2020. The text of the paper is available https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7519167/. For questions about the materials here, email cquirk@uchicago.edu or dm on twitter @ColinTQuirk. ## Overview The cleaning folder contains the R code needed to covert the raw data into summarized data. The experiments folder contains both the experiment code and data for each of the experiments. The figures folder contains the R scripts needed to reproduce plots (excluding minor illustrator adjustments) and the plots themselves. The misc folder contains the images used as stimuli (taken from [bradylab.ucsd.edu](https://bradylab.ucsd.edu/) and renamed). Finally, the models code contains Rmd files that run the models used in analysis and prints the appropriate output. For convenience, the html files including output are also included so that values can be confirmed without needing to rerun the models. ## Experiment Code The experiment code is written in MATLAB and requires psychtoolbox. Unless you are attempting to exactly reproduce our experiment, I recommend instead using psychopy (you may be interested in my [psychopy change detection code](https://github.com/colinquirk/PsychopyChangeDetection)). ## Data Each experiment has a data directory. For the behavioral experiments, there is a mat folder with the raw data, a csv folder which contains the raw data in csv form, and a dfs data which contains combined and summarized data. If you are interested in using the data, rather than replicating the analyses, you should probably start with the data in the dfs folder. Experiment 1b also has a recordings folder, which can be used to confirm participants engaged in the verbal load condition. Recordings are split by subject and block. Experiment 2 contains all of these same folders within the behavioral folder. Additionally there is an eeg folder which contains both the raw eeg and eye tracking data files (including before and after artifact rejection) and a dfs folder which contain the CDA data in csv form. Raw eeg data is in eeglab format. For information about our current rejection pipeline go [here](https://github.com/AwhVogelLab/StandardizedPipeline). ## Models Information about modeling decisions are available in the paper. Models are fit using the brms R package, which uses the stan package on the backend.