Section outline

    • Introduction to data analysis software (e.g., SPSS, Stata, R, NVivo/ATLAS.ti as applicable)
    • Cleaning data: missing values, outliers, inconsistencies
    • Recoding variables and preparing analysis-ready datasets
    • Data audit trail and transparency in cleaning decisions