## Supplemental analyses notes > In the analysis .html documents linked below, we encourage interested readers to inspect 3 key patterns, among many others: > 1. Accuracy depended on the interaction between Sound Origin (Infectious vs. non-Infectious) and Sound Type (coughs, sneezes, or sniffs). > 2. Accuracy did not consistently correlate with Germ Aversion or Perceived Infectablity, which are subscales of the Perceived Vulnerability to Disease Questionnaire. > 3. In some cases, accuracy depended on Subjective Certainty. > The links below will take you to a page where you can download a .html document, which you can view on any web browser. In the bullet points below, we tell you where to find key elements of the analysis in the floating table of contents , which "floats" (scrolls with you) on the left side of each .html. > * **Study 1** > * [2study1_data_describe.html](https://osf.io/j69cs/) > * [3study1_data_analysis.html](https://osf.io/f5uez/) > * To inspect the Sound Origin x Sound Type interaction, see models >> model 3 >> interaction effect plot. > * To inspect the Sound Origin x PVDQ interaction, see models >> model 4 >> interaction effect plot. > * To inspect the Sound Origin x Certainty interaction, see models >> model 6 >> interaction effect plot. > * **Study 2** > * [2study2_data_describe.html](https://osf.io/v4prf/) > * [3study2_data_analysis.html](https://osf.io/5np9x/) > * To inspect the Sound Origin x Sound Type interaction, see models >> model 3 >> interaction effect plot. > * To inspect the Sound Origin x PVDQ interaction, see models >> model 4 >> interaction effect plot. > * To inspect the Sound Origin x Certainty interaction, see models >> model 6 >> interaction effect plot. > * **Study 3** > * [2study3_data_describe.html](https://osf.io/7e8gm/) > * [3study3_data_analysis.html](https://osf.io/q9e82/) > * To inspect the Sound Origin x Sound Type interaction, see models >> model 3 >> interaction effect plot. > * To inspect the Sound Origin x PVDQ interaction, see models >> model 4 >> interaction effect plot. > * To inspect the Sound Origin x Certainty interaction, see models >> model 6 >> interaction effect plot. > * **Study 4** > * [2study4_data_describe.html](https://osf.io/4gfyv/) > * [3study4_data_analysis.html](https://osf.io/2y94e/) > * To inspect the Sound Origin x Sound Type x Rating Condition interaction, see models >> model 3 >> interaction effect plot. > * To inspect the Sound Origin x Sound Type x Rating Condition x Sound Rating interaction, see models >> model 5 >> interaction effect plot. > * To inspect the Sound Origin x Rating Condition x PVDQ interaction, see models >> model 8 >> interaction effect plot. > * To inspect the Sound Origin x Rating Condition x Certainty interaction, see models >> model 10 >> interaction effect plot. > * **combined studies** > * [4study_all_data_plot.html](https://osf.io/k5ewc/) > * We used this code to create the plots in the paper (also some other plots which can be viewed in the figures subfolder in [analyses](https://osf.io/ptx4f/)). > * [4exploratory_meta_analysis.html](https://osf.io/8uknb/) > * In these analyses we summarize via an exploratory internal meta-analysis all four studies. Specifically, we meta-analyze the intercept and infectious vs. non-infectious sound origin logits. ## 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 > * "2017F_sickness_sounds.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_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. script type (preparation, description, analysis) > 4. 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_data_describe.html" refers to the output of the descriptive statistics R Markdown script for Study 3 (e.g., demographics, correlations, means, standard deviations)