MANOVA

MANOVA, or Multivariate Analysis of Variance, is a statistical method used to compare group differences across multiple related outcomes simultaneously. Instead of looking at one measurement at a time, MANOVA considers all these outcomes together to see if there's a pattern of differences between groups. This helps researchers understand complex effects more effectively, accounting for relationships among the variables. It's commonly used when researchers want to determine if different groups (like treatment and control) differ across several related measures at once, providing a comprehensive view of the data's differences.