Graphing Interactions
Interaction effects in factorial experiments can be visually interpreted and analyzed using either bar graphs or line graphs. In these visualizations, spreading interactions are identifiable when there is a large difference in the dependent variable at one level but little to no difference at the other. Cross-over interactions are characterized by a distinct reversal in the pattern of bar heights or by line graphs where the plotted lines literally intersect and cross over one another.
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Research Methods in Psychology - 4th American Edition @ KPU
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Spreading Interaction
Cross-over Interaction
Graphing Interactions
In a factorial research design, which of the following best describes a cross-over interaction?
Graphing Interactions
Which of the following best describes the statistical pattern known as a spreading interaction?
Example of a Cross-over Interaction
Graphing Interactions
How is a cross-over interaction defined in the context of factorial designs?
Assigning Variables in Factorial Graphs
Line Graphs in Factorial Designs
Example of Graphing Factorial Experiments
Graphing Interactions
Match each variable in a factorial experiment with two independent variables to its standard graphical representation.
A psychology student is creating a graph for a factorial experiment investigating the effects of room temperature and background noise on reading comprehension scores. Based on standard graphing conventions for factorial designs, how should the student assign the variables to the graph's visual elements?