### Pre-registration and Preprint - https://psyarxiv.com/t2pjv/ - The `Stage 1` folder includes the markdown to create the preprint document. - Registered report at *Psychonomic Bulletin & Review* ### Stage 2 Manuscript - https://osf.io/2qf6w ### Power Analysis - https://osf.io/mxnrb/ - Check out `power_PANGEA.R` and `power_simr.R` scripts to view the power analyses in *R* for mixed models. - Use G*Power for power analyses based on *d* effect sizes as described in the preprint. - The wiki page also includes the settings for using the PANGEA shiny app. ### Ethics Approvals - https://osf.io/eknvw/ - Each team received approval, and these files are stored in this component. Files are listed by team code (Country_Number). ### Materials - https://osf.io/74ujf/ - The `Pictures` folder includes the stimuli pictures zipped into one file. - The `Scripts` folder includes the scripts necessary for the online and in person version of the study. - The `Sentence sheets` folder includes the counterbalancing and randomization information for how the stimuli were matched and study order was created. - [Object Familiarity Rating Form](https://objectsurvey.formr.org/) for non-English participants. ### Translation - https://osf.io/gq7xd/ - You can find templates and instructions given to translation teams, along with discussions about cultural adjustments. - Within each language folder, you can find the translation for demographics (language sheet), instructions, and translation of the probe sentences. Some languages were only run online, and may not have all files (i.e., in person instructions are not necessary for an online study). ### Methods - https://osf.io/xv6pj/ - You can find the videos of each team showing how they ran the study in person. The videos are named by lab id (COUNTRY_Number). - See details in the latest [site manual](https://docs.google.com/document/d/1XFj9qQT500lAEe3fjGNab6TTU_lgUWTiWWSh8oF3jGE/edit?usp=sharing) - Always run the **verification task (SP)** before the **matching task (PP)**. - Upload the collected data to lab public OSF. ### Real Time Data Tracking - https://osf.io/2zxrw/ - During the study, lab teams could stop at the pre-registered minimum or they could use a Bayes Factor criteria. The scripts provided on this page show how the data was processed and other information about tracking for the study. - https://scgeeker.github.io/PSA002_log_site/ is the site for the tracker. - During the study, information was stored here about tracking labs/participants and plans. - The COVID-19 shutdown of research labs lead to changes in direction for running the study to online (see Materials for online information). - These files were for data exploration during the study. The final data files can be found in the manuscript folder. ### Reproducible Stage 2 Manuscript - https://osf.io/rgmky/ - Capsule: - https://codeocean.com/capsule/3994879/tree/v1 - You can run the markdown files in browser using Code Ocean. - Code: - The `code` folder contains all the markdown files used to make the manuscript. - `codebook.Rmd` makes the codebook to explain the data that is created in the manuscript markdown. - `contributors.R` creates the YAML for the manuscript header based on our CREDIT table. - `Stage2_*.Rmd` files create the manuscript and appendices. - Within `/includes` you will find translation guides, lab information, the bib files, and demographic data stored from the study. - Data: - Raw data is provided in the `data` folder separated by lab. - The in person data is separated by participant. The online data says "jatos" in it and is one large file of everyone. - PP: Picture - Picture task files - SP: Sentence - Picture task files - The lab tracking files are also included as `seq_out.csv` and the overall lab tracking file is `LABID.csv`. - These were downloaded directly from each team's separate OSF page.