Analysis Scripts and Datasets for a Longitudinal Study on Yoga Nidra

This repository contains the research data and analysis pipeline for a longitudinal study evaluating the impact of Yoga Nidra on psychological well-being and cognitive performance. The study was conducted at the National Resource Centre for Value Education in Engineering (NRCVEE), IIT Delhi. The repository includes the following components: Quantitative Datasets: Longitudinal data for clinical scales (GAD-7, PHQ-9, PSQI, POMS, SWLS, and PSS) and cognitive performance tasks (1-back, 2-back, and Trail Making Test A/B). Qualitative Data: Anonymized participant feedback and experiential reflections collected post-intervention, prepared for Reflexive Thematic Analysis. Demographic Data: Baseline participant information, including age, gender, and physical characteristics. Statistical Analysis Pipeline: Four Jupyter Notebooks (.ipynb) providing the complete Python code for: Baseline demographic comparisons. Parametric testing (Welch’s t-tests, paired t-tests) and normality checks (Shapiro-Wilk, Kolmogorov-Smirnov). Robust non-parametric testing (Mann-Whitney U, Wilcoxon signed-rank) and bootstrapped 95% confidence intervals. Detailed subgroup analyses Segmented by clinical severity and gender. These resources are provided to ensure the transparency and reproducibility of the study's results regarding yogic relaxation interventions.