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1. How is the factorial analysis of variance different from the oneway ANOVA in chapter 9? The
factorial analysis is similar to the oneway ANOVA, however, in a oneway ANOVA, only one
independent variable can be tested. With a factorial analysis, the effects of two or more independent
variables can be looked at.
2. Describe a factorial research design. What are its advantages? A factorial research design is
created so that the effects of multiple variables can be studied. This is done by looking at the
different combinations that are possible to create with the different variables. Its advantages are
that one can see how multiple variables affect a dependent variable in combination. This is a more
accurate way to look at the world because most things are determined by multiple factors. It is also a
more efficient way to run a study because multiple variables are being tested at one time instead of
running more than one study for each variable which would take more time and more participants.
3. Explain what interaction effects are and why they’re important. Interaction effects are the effects
that occur when two or more independent variables are combined. These effects are different than
the effects that are seen when these variables are tested by themselves. These effects are important,
again, because many situations are not determined by just one variable. If these variables were not
tested in combination, the effects of the individual variables may not have been significant, when in
fact, when combined the effect could be significant and important to understand.
4. What is a main effect and how is it different from an interaction? A main effect has to do with
particular grouping variables. A grouping variable will produce a main effect if, when averaging the
results per level across the other variables, the averages are different from each other. Basically, a
main effect just shows the significance of an individual grouping variables despite the other
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 Fall '09
 Dr.Hall

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