Chapter 12 PSY 215 – Flashcards

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How does a factorial design work?
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-A design in which there are 2+ independent variables (factors) 0Researchers cross the two independent variables, study each possible combination of the IVs.
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What are two reasons to conduct a factorial study?
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-They test whether an IV effects different kinds of people, or people in different situations in the same way. -Can be used to test theories. Best way to study how variable interact is to combine them in a factorial design & measure whether the results are consistent w/ the theory
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Describe an interaction as a "difference in differences"
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-Whether the effect of the original independent variable depends on the level of another independent variable -Subtraction on the table
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Describe interactions in terms of "it depends"
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-Does the effect of the original independent variable depend on the level of another independent variable?
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Define marginal means
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The arithmetic means for each level of an IV, averaging over levels of the other IV. -If there's a difference between the means, there is a main effect.
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Identify interaction effects two ways: in a table and in a graph
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-Subtraction in a table down the columns, if they differ, there is an effect. -On a graph, the lines are touching
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What is the basic logic of three-way factorial designs?
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-If there is a 3-way interaction, it means the 2-way interactions are different, depending on the level of a third IV. *Ex: breaking onset time & cell phone use. The interaction is affected by the level of traffic
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Determine from a graph whether a study shows a three-way interaction
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-If there is a graph of 2 variables & then it shows a third variable change the effects given
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Interpret key words that indicate factorial design language in a journal article
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-If they use a 2x2 design, 2x2x2 design, etc. Indicates the # of IVs in the study, as well as how many levels there were -In the Results section may use the term "significant" and have the notation of "p< .05" with an asterisk to indicate that a main effect or interaction is statistically significant.
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Interpret keywords in popular press articles that indicate a factorial design
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-It depends -This variable depends on another variable
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