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Describe how researchers can visually identify both spreading and cross-over interactions in factorial experiments using bar graphs or line graphs, based on the patterns of the variables.

Question: Describe how researchers can visually identify both spreading and cross-over interactions in factorial experiments using bar graphs or line graphs, based on the patterns of the variables.

Sample answer: According to the text, interaction effects in factorial experiments can be visually interpreted using bar graphs or line graphs. A spreading interaction is identified when there is a large difference in the dependent variable at one level of an independent variable but little to no difference at the other. A cross-over interaction is characterized by a distinct reversal in the pattern of bar heights on a bar graph, or by line graphs where the plotted lines literally intersect and cross over one another.

Key points:

  • Interaction effects can be visually interpreted using bar or line graphs.
  • Spreading interactions show 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 on bar graphs.
  • Cross-over interactions are characterized by line graphs where the plotted lines literally intersect and cross over one another.

Rubric: A complete response should accurately define the visual indicators for both spreading and cross-over interactions. Award points for correctly describing: 1) the use of bar or line graphs for interactions; 2) the large difference at one level and little/no difference at the other for spreading interactions; and 3) the reversal of bar heights or intersection of lines for cross-over interactions.

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Updated 2026-05-27

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KPU

Research Methods in Psychology - 4th American Edition @ KPU

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