### Home

#### All Data: To understand how the raw data was transformed from the server to the raw_data folder, please read [01_ShinyData_Processing](https://osf.io/uzqdr/). To understand what we've done to supplement the raw_data for reuse, please read [02_AnonymizedData_Processing](https://osf.io/wj3yb/). The formr folder contains all of our excel sheets used to create the study in the *formr* framework. You can use these as data codebooks, and these are merged into the processed data to display the target language shown to the participant. 1) Explanation is ignored when building surveys, a simple description of the item. 2) Class is custom styling applied to the item. 3) Type is the type of question presented to the subject. 4) Optional is if the item was optional (*). 5) Name is the item_name in the data, which is the variable name of the item. 6) showif determines who sees the specific item. 7) Label contains the markdown information of what was shown to the participants. 8) Choice columns indicate the choices shown to participants. 9) Value indicates any R code used to randomly assign participants. The shiny_apps folder contains the code for three shiny applications using during the project. They have had their "secret" keys removed which only worked on the temporary server we used for the project. 1) Nudge app - used to show current counts for Nudge panels. 2) Overall participants - used to show all participants, codes, and timing for the study. 3) ZPID app - used to show current counts for ZPID panels. The test folder is described in the 01_ShinyData_Processing file. You can use this folder to examine what we did to the data from the server to the raw_data folder and how the script was integrated to display the shiny apps in real time. The [04_DataPaper_Analyses](https://osf.io/ahsft) file includes the calculations used to create the [Dataset Manuscript](https://osf.io/byqha/).