value when comparing two things, instead of a univariate F. value. For instance, when comparing which of two textbooks are better for students, we are dealing with two separate factors that, although perhaps correlated, are still different. The MANOVA exaggerates these differences and then sees whether there is any contrast between the two.

The MANOVA is used to see whether (going to the previous example) the 3 factors help reduce math anxiety or whether they reduce public speaking anxiety. They may be helpful with one, but not helpful with the other. The ANOVA lumps them, but the MANOVA separates them and this distinction is very important. The MANOVA, therefore, also shows the researcher more differences that an ANOVA overlooks, as well as avoiding the possibility of a Type 1 error (namely saying that there is a significant result when there isn't').

On the other hand, it is more complicated than...
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