Скачать или смотреть Non-parametric Statistics in R: Mindfulness and Stress Case Study(Wilcoxon + Spearman)

In this video, we explore a realistic psychological case study:
how mindfulness practice affects exam stress among university students. Using nonparametric tests in R, we analyze simulated data from a pre-post intervention design to evaluate:

Whether stress levels significantly decreased after mindfulness training (using the Wilcoxon Signed-Rank Test)

Whether more mindfulness practice time relates to greater stress reduction (using the Spearman Correlation)

This tutorial is perfect for students and researchers in psychology, education, and behavioral sciences who want to learn how to apply nonparametric statistics to real-world research questions.

00:00 – Introduction: Mindfulness and exam stress
00:22– The study design (pre–post intervention)
01:25 – Why nonparametric tests? (skewed data)
02:20 – Wilcoxon Signed-Rank Test explained
03:20 – Wilcoxon results and effect size
04:04 – Spearman correlation in R
05:05 – Visualizations
05:25 – Recap and real-world meaning

#Mindfulness #ExamStress #WilcoxonTest #SpearmanCorrelation #RProgramming #PsychologyResearch #DataAnalysis #Nonparametric #StatisticsInR #StatisticiansWorld