Assess patterns between multiple dependent variables: The factors in the model can affect the relationship between dependent variables instead of influencing a single dependent variable.Greater statistical power: When the dependent variables are correlated, MANOVA can identify effects that are smaller than those that regular ANOVA can find.The correlation structure between the dependent variables provides additional information to the model which gives MANOVA the following enhanced capabilities: Use multivariate ANOVA when your dependent variables are correlated. We can conclude that there is an association between teaching method and the relationship between the dependent variables. Even though the one-way ANOVA results and graphs seem to indicate that there is nothing of interest, MANOVA produces statistically significant results-as signified by the minuscule P-values.
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