Rasch-based RCT simulations via stata/simIRT
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Corentin Choisy f04322a9db Created ROSALI screening version 2 months ago
Modules Created ROSALI screening version 2 months ago
RProject Created ROSALI screening version 2 months ago
Scripts Created ROSALI screening version 2 months ago
.gitignore Update to article code 6 months ago
DATA_LICENSE Licensed data 10 months ago
LICENSE LICENSE 10 months ago
README.md Update README 10 months ago
Supplementaries.tar.gz Updated supplementaries 10 months ago
autorun.sh Cleaned up code 10 months ago
catalogue.md Cleaned up code 10 months ago
prepare_file_structure.sh File structure script 10 months ago

README.md

Simulations

This repository contains all code files related to our ROSALI/Resiuals RCT simulation project. In order to save disk space, data files are not stored on this server and are instead available on https://osf.io/zjtfe/

File Structure

📦 simul_these
├─ catalogue.md           - List and description of scenarios
├─ 🗂️ Analysis               - ANALYSIS RESULTS
├─ 🗂️ Data                   - GENERATED DATASETS
│  ├─ 🗂️ DIF                 - DATASETS WITH DIF
│  └─ 🗂️ noDIF               - DATASETS WITHOUT DIF
├─ 🗂️ Modules                - R AND STATA MODULES
│  ├─ 🗂️ rosali_custom       - DATASETS WITH DIF
├─ 🗂️ RProject               - R SCRIPTS FOR VARIOUS TASKS
└─ 🗂️ Scripts                - R AND STATA SCRIPTS
   ├─ 🗂️ Analysis            - PCM ANALYSIS SCRIPTS
   └─ 🗂 Data_generation     - SIMULATION SCENARIO SCRIPTS
      ├─ 🗂️ DIF
      └─ 🗂️ noDIF

Naming conventions

Initial Datasets

XX_N - Scenario XX / N individuals per group

Analyzed Datasets

noDIF / XX_N.csv - Analysis for scenario XX_N by PCM without accounting for DIF
DIF / XX_N.xls - Analysis for scenario XX_N by PCM with DIF accounted for
ROSALI-DIF / XX_N_original.xls - Analysis for scenario XX_N by PCM with DIF accounted for after detection by ROSALI
RESIDUALS / XX_N_original.xls - Analysis for scenario XX_N by PCM with DIF accounted for after detection by Andrich & Hagquist's residuals method

Reproduction

  1. Run /Scripts/Data_generation/NoDIF/scenarios_noDIF_baseline.do to simulate no DIF data
  2. Run files in 🗂️ /Scripts/Data_generation/DIF/ to simulate DIF data
  3. Run /RProject/Scripts/Analysis/pcm_nodif.R to analyze without accounting for DIF
  4. Run files in 🗂️ /Scripts/Analysis/DIF/ to analyze while accounting for DIF
  5. Run /Scripts/Analysis/DIF-ROSALI/pcm_dif_rosali.do to analyze data after accounting for DIF as detected by ROSALI
  6. Run /RProject/Scripts/Analysis/resali_analysis.R to perform residuals DIF detection and prepare data for PCM analysis.
  7. Run /Scripts/Analysis/DIF-RESIDUALS/pcm_dif_residus.do to analyze data after accounting for DIF as detected by the residuals method
  8. Run /RProject/Scripts/Analysis/aggregation.R to compile and visualize results

OR

  1. [BASH ONLY] Run prepare_file_structure.sh (only on first run) and autorun.sh (by default, will take multiple weeks to run. Please modify to run in parrallel if necessary)