¶ … ANOVA) is a test that is used to help interpret the results of a research study. It is not a way of gathering data, but a way of interpreting data that has already been gathering. In fact, ANOVA is a way of trying to find out how much variability there is in a group of data. It is an important test because there will be random variations within groups that could have an impact on research results, while not actually having an important scientific impact. However, there can also be variations in a group that do have an important scientific impact. ANOVA is one way to determine the strength of the impact of variations on whatever variables are being tested. ANOVA is "a statistical analysis tool that separates the total variability found within a data set into two components: random and systematic factors. The random factors do not have any statistical influence on the given data set, while the systematic factors do. The ANOVA test is used to determine the impact independent variables have on the dependent variable in a regression analysis" (Investopedia, 2013). What is important to keep in...

It looks for factors that might have an impact on test results, which is the first step in determining the extent of the impact of the various factors (Investopedia, 2013). Basically, an ANOVA allows one to see if subgroups in a population are impacted the same way by a variable. "One test often used by statisticians and researchers in their work is the Two-Way ANOVA, which determines the differences -- and possible interactions -- when variables are presented from the perspective of two or more categories. When a Two-Way ANOVA is implemented, it enables one to compare and contrast variables resulting from independent or joint actions" (MacFarland, 2012).
Interaction

Interaction refers to the idea that rarely do single variables have a consistent impact across all subjects. Instead, the unique characteristics of each subject may interact with the variables, producing heightened or lessened effects. This is referred to as interaction. An interaction effect refers to the role of a variable…