Discussion Assignment

Comparing MANOVA to Multiple ANOVA

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Comparing MANOVA to Multiple ANOVA

The multiple ANOVAs cannot provide extensive information on the differences that may arise in the testing of multiple dependent variables (Statistics How To.com, 2016). This means it would be difficult to the researcher when using ANOVA to protect the study from Type 1 errors. On the other hand, MANOVA facilitates the testing of multiple dependent variables and at the same time help to protect the testing from Type 1 errors.

The reliance on MANOVA can be more disadvantageous than using multiple ANOVAs to analyze results of multiple dependent variables (McHugh, 2011). For example, usually, the MONOVA is more complicated and therefore, making it difficult for the researcher to determine which independent variables are being affected. Secondly, with MANOVA the researcher’s degree of freedom is lost when with the addition of every new variable. Thirdly, to apply MANOVA in the analyzing of the multiple dependent variables the variables should be uncorrelated as much as possible.

The hypothesis to find out whether the difference in prices affect customers buying behavior for both men and women can be tested using a MANOVA. Change of men and women buying behavior as a result of different prices is an indication there are two dependent variables. Therefore, in this hypothesis, MANOVA will be appropriate.

References

McHugh. (2011). Multiple comparison analysis testing in ANOVA. Biochem Med, 21(3), 203-9.

Statistics How To.com. (2016, June 3). ANOVA Test: Definition, Types, Examples. Retrieved from Statistics How To.com: http://www.statisticshowto.com/anova/