I figured the two main differences between ANOVA and MANOVA:
Dependent Elements:
ANOVA: One continuous dependent variable can be analyzed using an ANOVA. It looks for variations in the means between two or more groups.
When dealing with two or more continuous dependent variables that are frequently associated, MANOVA is utilized. It looks at the links between these dependent variables and examines for variations in averages across several groups.
Analysis Difficulty:
ANOVA: An ANOVA looks at the variation in just one dependent variable since it is a univariate analysis. For every dependent variable, it gives information on group differences independently.
MANOVA: MANOVA is a type of multivariate analysis that lets you examine the total variance of several dependent variables at once. It takes into consideration any interdependencies among the variables and offers a more thorough assessment of group differences.