## analyses
> * preparation, description, and analyses scripts
> 1. **preparation.** prepare and deidentify data for description and analyses
> 2. **describe.** descriptives (including turkprime payment demographics), psychometrics, and correlations
> 3. **analysis.** contrasts, raw data plots, models, model diagnostic plots, result summaries, and effect plots
> 4. combined analyses use data from multiple studies
> * key supplement documents in this component
> * **Study 1**
> * 2study1_ci_generation_data_describe.html
> * 3study1_ci_ratings5_data_analysis.html
> * **Study 2**
> * 2study2_ci_generation_data_describe.html
> * 3study2_ci_ratings_data_analysis.html
> * **Study 3**
> * 2study3_ci_generation_data_describe.html
> * 3study3_ci_ratings2_data_analysis.html
> * **Study 4**
> * 2study4_drawing_generation_ratings_data_describe.html
> * 3study4_drawing_ratings_data_analysis.html
> * **combined studies**
> * 4combined_analysis.html
> * notreported1 and notreported2 refer to studies (materials, data, truncated analyses) that we do not report in our manuscript (see p. 13)
> * "2015F_mentally_representing_infected_others.Rproj"
> * .Rproj refers to an R project file which automatically sets your R session's working directory to the folder that the .Rproj is in (for more details, see [Using Projects](https://support.rstudio.com/hc/en-us/articles/200526207-Using-Projects) or [Workflow: projects](https://r4ds.had.co.nz/workflow-projects.html))
> * For your own analyses, we recommend following these steps:
> 1. download the analyses component
> 2. unzip the analyses component on your computer
> 3. download and save the data component in the unzipped analyses folder
> 4. unzip the data component
> 2. open the .Rproj (this opens R Studio and sets the working directory for you)
### **analyses document naming scheme**
> e.g., "2study3_ci_ratings2_data_describe.html"
> 1. the first number in filenames order the files top-to-bottom within the folder (1 = preparation, 2 = description, 3 = analysis, 4 = multiple-study analysis)
> 2. study number (Study 1-4 and not reported studies)
> 3. Phase (ci_generation or ci_ratings)
> 4. script type (preparation, description, analysis)
> 5. filetype (.Rmd or .html)
> * .Rmd refers to an R Markdown script which can be mostly easily viewed and edited in R Studio (it can be read as plain text)
> * .html includes the output from the .Rmd script and can be opened in any internet browser (e.g., Google Chrome, Safari)
> * **example.** "2study3_ci_ratings2_data_describe.html" refers to the output of the descriptive statistics R Markdown script for Study 3 ratings survey 2 (e.g., demographics, correlations, means, standard deviations)
