Methodological Appraisal and Credibility Assessment checklist (MACA)

This dataset accompanies the Methodological Appraisal and Credibility Assessment checklist (MACA), developed to evaluate the methodological quality of studies applying computational and statistical methods for composite indicator construction. The repository includes three reproducible components: MACA_ICC-KAPPA: Scripts and results for inter-rater reliability analysis (Cohen’s Kappa, Gwet’s AC1, PABAK, and ICC) of the MACA checklist. MACA_FinalScore: Script and output for calculating the averaged and total scores of the final 17-item fused version of MACA, based on two independent evaluators. MACA_heatmap: Python script and visualization for the heatmap summarizing methodological quality across studies. All scripts are written in Python and include example input and output files for transparency and reproducibility. The dataset supports the umbrella review on methodological quality assessment in computational and statistical methods applied to public health and composite indicators.