This project contains *randomised* versions of the raw and processed data for PSA001 (social faces), which we are releasing for the [Secondary Analysis Challenge][1]. The primary documentation for how we're releasing these data are in the [**PSA001 Social Faces Data Management Plan.docx**][2], which lives in the top-level of PSA001 project page. Start there for the most complete documentation of this release. The project contains the following files: * `data_agg_sim.csv`: A randomised version of the processed dataset (i.e., with aggregated ratings). The randomised data have a similar structure as the real dataset, but the stimulus and trait labels are randomized to reduce participant identifiability & obscure the exact findings [see PSA1_sim_data.html for details] * `data_agg_sim_codebook.csv`: A codebook for the processed dataset * `data_ind_sim.csv`: A randomised version of the raw dataset (i.e., pre-aggregation) * `data_ind_sim_codebook.csv`: A codebook for the raw dataset * `Karolinska_14trait_judgmentswithlabels.xls`: Factor loadings from Oosterhof & Todorov * `Karolinska_ReadMe_Updated2012.txt`: Documentation on the factor loadings from Oosterhof & Todorov * `PSA_sim_analysis.html`: Documentation of the primary analyses used in this project. Start here if you want to know what analyses the PSA001 project team will be reporting in their Registered Report. * `PSA1_sim_data.html`: Documentation of how data_agg_sim.csv was created * `PSA1_sim_data.Rmd`: The R file used to generate PSA1_sim_data.html * `regions.csv`: A look-up table that translates the region codes used in the raw and processed datasets into the larger regions used for the paper [1]: https://psysciacc.org/2019/09/01/introducing-the-psa001-secondary-analysis-challenge/ [2]: https://osf.io/v46q8/