good-day-quantitative

Installation

1. Install Miniconda

2. Install Quarto

3. Clone the repository:

   git clone https://github.com/carissalow/good-day-quantitative

4. Restore the Python virtual environment:

   cd good-day-quantitative
   conda env create -f environment.yml -n good-day

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Configuration

Copy CSV files containing the following input data to data/raw/:

• Daily diary questionnaire data exported from Qualtrics
• Participant baseline demographics exported from REDCap
• Participant baseline PROMIS scores exported from REDCap
• Participant study start and end dates

Optional: Modify any data cleaning or analysis parameters exposed in config.yaml.

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Execution

Run all steps of the analysis:

bash -l run_analysis.sh

Steps of the analysis include:

1. Activating the Python environment
2. Cleaning daily diary, demographics, and PROMIS score data
3. Computing descriptive statistics and correlations, performing t-tests, and fitting linear mixed effects regression models
4. Creating a table and figure for our publication
5. Rendering a summary report

After running the analysis pipeline:

• Cleaned data will be available in data/processed/
• A log of the steps performed to clean the daily diary data can be found in logs/clean_diary_data.log
• Analysis results will be available in output/descriptives/ and output/results/
• The table and figure for our publication will be available in output/tables/ and output/figures/, respectively
• The rendered summary report can be found in reports/_site/good_day_quantitative_analysis_summary.html

You can view our report here.