Cognate beginnings to bilingual lexical acquisition

Link	Contents
Website	Instructions for reproducibility, data dictionaries, lab notes
PsyArxiv	Preprint and figures
GitHub	Code, preprint and figures
OSF	Code, preprint, and results (model outputs)
Docker	Docker image with reproducible RStudio session

Repository structure and files 📂

This repository is organised as follows:

• data: processed data in CSV format
  • items.csv: information about words included in the analyses
  • participants.csv: information about participants
  • responses.csv: participant responses to the items. The model was fit on this dataset.
• data-raw: raw data from the Barcelona Vocabulary Questionnaire, BVQ. This is a RDS file containing a list of data frames with all the information necessary to generate the datasets in the data/ directory.
• docs: source code to generate the documentation site of the project (cognate-beginnings).
• manuscript: Quarto document with the source code of the manuscript and appendix
• R: R functions used in the targets to process and analyse the data.
  • processing.R: code that preprocesses the raw data to generate data/participants.csv, data/items.csv, and data/responses.csv
  • models.R: to fit the Bayesian model and extract posterior draws
  • utils.R: helper functions and wrappers used across in processing.R and models.R
• renv: internal settings to ensure reproducibility of the computing environment.
• results: model outputs. You will need to run the code to generate the files that will be contained in this directory.
  • fits: RDS files with the brmsfit of the Bayesian models
  • posterior: CSV files with the posterior draws of the population-level and group-level coefficients
  • predictions: CSV files with the posterior predictions
• src: R functions to make programming tasks easier, not needed to reproduce the project.
• tests: testthat scripts used to unit test the functions used across the project.