RMT: Data and Models in Psychology

This repository contains data and supplementary material for Chapter 5 of the thesis Role of Robust Statistical Methods in the Credibility Movement of Psychological Science.

The associated OSF repository can be found here: https://osf.io/znfc2/

The repository is organised as follows:

• data folder:
  • helper_data/raw_data_database_osf_public.csv contains the list of included and excluded studies, reasons for exclusions, links to raw data and dois/links to papers. Each paper has been assigned an ID. This ID is used to for the matching dataset files and analysis files specified below.
  • processed_data/mod_df.RDS contains the processed data. Use this file along with r_docs/data_processing to get additional information about the metrics of interest
  • raw_data contains all raw data from included studies.
• r_docs folder:
  • Data processing (data_processing.qmd) and analyses (data_analysis.qmd) ran on processed data to obtain typical estimates for metrics (skewness, kurtosis, heteroscedasticity, etc)
  • Individual analysis files for each paper labelled with appropriate ID.
• objects folder:
  • lm folder has the exports of all linear models from individual papers
  • models contains the results and MCMC draws from all Bayesian models fitted to obtain typical estimates. Note that this file was too large to host on github. It's hosted on OSF instead - you can access it through the repository link above, or use this link that links directly to the file: https://osf.io/ts9fb
• scripts folder contains helper functions used for re-analyses of linear models and for extracting information about residual metrics.