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<h2>Contents of this directory</h2> <p>This directory contains anonymized data and analysis scripts for both experiments.</p> <p><strong>Data</strong> <em> </em>preprocessed_data_e1.csv<em> : the de-identified data for all tasks and sessions, Experiment 1 </em> <em>preprocessed_data_e2.csv</em> : the de-identified data for all tasks and sessions, Experiment 2 <em> </em>adaptiveLevels.csv* : provides the list lengths per session, task, and participant</p> <p><strong>Analysis scripts and pre-loaded output</strong></p> <p><em>Experment 1</em> <em> </em>cst-stateTrace_e1.Rmd<em> : the executable R markdown document used to run analyses </em> <em>cst-stateTrace_e1.html</em> : the read-only R notebook documenting the output from the corresponding .Rmd file <em> </em>propRecall_baov.Rdata<em> : output from the Bayesian ANOVA used to support the traditional analysis on leniently-scored data </em> <em>strictRecall_baov.Rdata</em> : output from the Bayesian ANOVA used to support the traditional analysis on strictly-scored data. Currently, the script calls these files so that the script produces results identical to the manuscript contents. The analyses can be re-run by uncommenting the lines of code that run the BF ANOVAs. <em> </em>mHat_listwise_e1.png<em> and </em>mHat_propAcc_e1.png* : These contain the output from Cox and Kalish's (2019) method, formatted in the style of their figures</p> <p><em>Experment 2</em> <em> </em>cst-stateTrace_e2.Rmd<em> : the executable R markdown document used to run analyses </em> <em>cst-stateTrace_e2.html</em> : the read-only R notebook documenting the output from the corresponding .Rmd file <em> </em>propRecall_baov_e2.Rdata<em> : output from the Bayesian ANOVA used to support the traditional analysis on leniently-scored data </em> <em>strictRecall_baov_e2.Rdata</em> : output from the Bayesian ANOVA used to support the traditional analysis on strictly-scored data. Currently, the script calls these files so that the script produces results identical to the manuscript contents. The analyses can be re-run by uncommenting the lines of code that run the BF ANOVAs. <em> </em>mHat_listwise_e2.png<em> and </em>mHat_propAcc_e2.png* : These contain the output from Cox and Kalish's (2019) method, formatted in the style of their figures</p> <p>The <strong>Manipulation Check</strong> directory contains data and analysis scripts used to check whether the processing tasks imposed a load on the memory tasks (extra data from the introductory session). This directory includes the data (as a .csv file), the executable script (.Rmd file), and read-only report (.html file).</p> <p>The <strong>Figures(.tiff)</strong> directory contains manuscript figures output in .tiff format.</p> <p>We conducted a cross-experiment manipulation check to ensure that baseline trials (both memory-only and processing-only) differed from memory and processing performance during complex span. <em>compareBaseline-CST.html</em> provides the summary statistics we reported in the manuscript.</p> <p>The <strong>Supplement 3</strong> directory contains the M-hat output per session (reported in Supplement 3).</p>
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