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<p>This project contains 1/3 of the raw and processed data (the <strong>exploratory segment</strong>) for PSA001 (social faces), which we are releasing for the <a href="https://psysciacc.org/2019/09/01/introducing-the-psa001-secondary-analysis-challenge/" rel="nofollow">Secondary Analysis Challenge</a>.</p> <p>The primary documentation for how we're releasing these data are in the <a href="https://osf.io/v46q8/" rel="nofollow"><strong>PSA001 Social Faces Data Management Plan.docx</strong></a>, which lives in the top-level of PSA001 project page. Start there for the most complete documentation of this release.</p> <p>This OSF component should be computationally reproducible. Just download the full contents, unzip it, and run <code>psa001_RR_subset.Rmd</code>.</p> <p>The code and data are also available on <a href="https://github.com/psysciacc/PSA001subset" rel="nofollow">GitHub</a> and as a <a href="https://mybinder.org/v2/gh/psysciacc/PSA001subset/master?urlpath=rstudio" rel="nofollow">Binder</a> container so you can run and explore the R code through your web browser.</p> <p>The project contains the following files:</p> <h4>Code</h4> <ul> <li><code>psa001_RR_subset.html</code>: 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.</li> <li><code>psa001_RR_subset.Rmd</code>: The R file used to generate <code>psa001_RR_subset.html</code></li> </ul> <h4>Raw data</h4> <p>We stratified by lab before sampling the exploratory segment -- in other words, the data are a randomly-sampled 1/3 of each lab's data</p> <ul> <li><code>psa001_exp_data_subset.csv</code>: Data from the rating experiments</li> <li><code>psa001_quest_data_subset.csv</code>: Data from the demographic questionnaires</li> <li><code>psa001_session_subset.csv</code>: Session data containing information about lab, language, and trait rated</li> </ul> <h4>Processed data</h4> <p>Processed data files are created by the script, but also provided here. Each has an associated codebook.</p> <ul> <li><code>psa001_ratings_raw_subset.csv</code>: The joined version of the three raw exploratory datasets (i.e., pre-aggregation)</li> <li><code>psa001_ind_subset.csv</code>: The processed version of the exploratory dataset, with one row for each subject/stimulus/rating. </li> <li><code>psa001_agg_subset.csv</code>: The processed version of the exploratory dataset, aggregated with one row for each region/stimulus/rating</li> </ul> <h4>Auxillary files</h4> <ul> <li><code>Karolinska_14trait_judgmentswithlabels.xls</code>: Ratings from Oosterhof & Todorov (2008)</li> <li><code>Karolinska_ReadMe_Updated2012.txt</code>: Documentation on the factor loadings from Oosterhof & Todorov</li> <li><code>regions.csv</code>: A look-up table that translates the region codes used in the raw and processed datasets into the larger regions used for the paper</li> <li><code>alphas.RDS</code>: A file (readable by R) that contains Cronbach's alphas. This file can be loaded into R to produce figures/tables instead of calculating the Cronbach's alphas in the R session (which takes some time)</li> </ul>
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