/FineTuningLanguageDisc2021

Data and analysis code for the research paper "Fine‐tuning language discrimination: Bilingual and monolingual infants’ detection of language switching"

Primary LanguageTeXMIT LicenseMIT

Readme for "Fine‐tuning language discrimination: Bilingual and monolingual infants’ detection of language switching"

Created by Esther Schott (esther.schott@mail.concordia.ca), inspiration for r script sharing from Rodrigo Dal Ben

This repository contains the analysis code associated with the research manuscript Fine‐tuning language discrimination: Bilingual and monolingual infants’ detection of language switching. You can find the associated OSF project, including raw data files and the stimuli used in the studies, at: https://osf.io/9dtwn/

Repository overview

01_Scripts - this folder contains the scripts used to generate the analysis and manuscript, along with a Groundhog package library for reproducability. To run the analysis, open the LittleMix.Rproj file located in the root folder using RStudio and then run the ms.Rmd file.

  • groundhog_library.R This is the library of specific packages and versions used in the original analysis script, to make reproducibility of the analysis more straightforward.

  • ms.Rmd This file contains the manuscript for Fine-tuning language discrimination

  • LM-04-analysis.Rmd The analysis script executed by ms.Rmd that does analyses etc.

  • Supplemental.Rmd This file contains the table of word pairs, as well as additional analyses presented in the supplemental materials

02_data - this folder contains info on word pairs - for data, see 03_output/processed data

LittleMix_stimuli_word_pairs.csv specific word pairs used in English-French and English-Spanish version of the study

03_output this contains the processed data & output

  • processed_data - This file contains preprocessed data

    • agg_data.Rdata data summarized by trial type for all keepers. csv file is available as well
    • study1_participants_anonymized.Rdata Demographic info for all tested participants in Study 1, as well as inclusion status. csv file is available as well
    • study2_participants_anonymized.Rdata Demographic info for all tested participants in Study 2, as well as inclusion status. csv file is available as well

  • figures - this folder figures generated by the analysis script.

  • tables - this folder contains tables generated by the analysis script as well as info about double coding.

    • Double_coding
      • Corr_offline.rdata used for reporting correlation between offline and online looking time data
      • summary_errors.rdata used for reporting errors (trials that last longer/shorter than expected)