ManyBabies 1 Re-Analysis

• GitHub Repository git clone https://github.com/RePsychLing/mb1.git

• For more information about the ManyBabies project, see http://manybabies.stanford.edu/

• The data and main analysis can be found at https://github.com/manybabies/mb1-analysis-public, stimuli, protocol, and further documentation is at https://osf.io/re95x/

The repository contains:

• MB1_analysis.jmd - The main script, which

  1. Reads in ManyBabies 1 data
     
  2. Shapes it as needed
     
  3. Reproduces the main analysis from the paper at https://github.com/manybabies/mb1-analysis-public
     
  4. Fits the preregistered maximal model
     
  5. Simplifies the random effects by inspecting the output of rePCA and the variance components
     
  6. Shows what can go wrong with multi-lab data (subid vs subid_unique)
     
  7. Re-processes more messy data to apply different cleaning criteria to deal with censoring (which you can adjust)
     
  8. Re-runs the analysis

• MB1_analysis.ipynb - The corresponding Jupyter notebook that you can run in your browser, but which differs from the converted version of the .jmd (split code blocks to see all output, converted R code cell)
  

• MB1_minimal_lmer.R - The R code needed to reproduce the main analysis of the paper, extracted from https://github.com/manybabies/mb1-analysis-public/blob/master/paper/mb1-paper.Rmd
  

• intendend_complex_LMM.txt - Output for the preregistered model (which still takes some time to fit)
  

• Project.toml and Manifest.toml - See https://repsychling.github.io/pkg.html

For instructions how to run code in .jmd and .ipynb files, see https://repsychling.github.io/intro.html