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Spreading Interaction
A spreading interaction is a specific form of interaction effect in which one independent variable has a prominent impact at one level of a second independent variable, but exhibits either a noticeably weaker effect or no effect at all at the other level. When visualized, this pattern typically appears as a significant difference in bar heights or as diverging lines in one condition, contrasting with minimal differences in the other.
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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?
A researcher finds that a new studying technique improves test scores for students with high anxiety, but has absolutely no effect on test scores for students with low anxiety. This pattern is an example of a cross-over interaction.
A researcher is analyzing the results of a 2x2 factorial experiment investigating how 'Instructional Method' (Direct Instruction vs. Problem-Based Learning) and 'Prior Knowledge' (Low vs. High) interact to affect exam scores. Arrange the analytical steps in the correct logical order to determine if a cross-over interaction is present.
A researcher is constructing a model of 'In-Group Cooperation' that predicts a 'spreading interaction' between 'Incentive Structure' (Group vs. Individual) and 'Team Identity' (High vs. Low). Specifically, group incentives are hypothesized to significantly boost effort compared to individual incentives only for 'High Identity' teams, with no difference for 'Low Identity' teams. To synthesize a data table for this theory, which set of mean effort scores (on a scale of to ) should the researcher generate?
In a factorial research design, a spreading interaction is characterized by one independent variable having opposite effects depending on the level of a second independent variable.
A researcher evaluates a claim that a specific study technique is 'universally superior' for all students. The data show the technique improves performance for students with high prior knowledge but hurts performance for students with low prior knowledge. Because the direction of the effect reverses across groups, the researcher identifies this pattern as a(n) _____ interaction.
Match each pattern of results from a factorial design with the description that best characterizes how the effect of one independent variable relates to the levels of a second independent variable.
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Graphing Interactions
Which of the following best describes the statistical pattern known as a spreading interaction?
A spreading interaction can be described conceptually or identified visually in different types of charts. Match each representation of a spreading interaction with its specific description.
A researcher finds that a new mindfulness app significantly reduces stress for individuals with high-pressure jobs, but has no measurable effect on stress for individuals with low-pressure jobs. This pattern of results is an example of a spreading interaction.
Rank the following hypothetical research findings from the pattern that most strongly aligns with the definition of a 'spreading interaction' to the pattern that least aligns with it, based on the magnitude of the simple effects of Independent Variable A at each level of Independent Variable B.
In a $2 \times 2$$ factorial design, a spreading interaction typically appears on a bar graph as a significant difference in bar heights in one condition, contrasting with minimal differences in the other.
In a factorial study, a researcher finds that a 'Sleep Deprivation' condition (Deprived vs. Rested) significantly impairs reaction time for 'Older Adults' but has no measurable effect on the reaction time of 'Younger Adults.' Why does this pattern qualify as a spreading interaction?
In a study using a factorial design, a researcher finds that the simple effect of the independent variable at Level 1 of the moderator is null (), while the simple effect at Level 2 is large and statistically significant (). By analyzing the relationship between these two distinct simple effects, the researcher can identify the result as a(n) _____.
Match each hypothetical research outcome description to the type of visual pattern it would produce on a graph, based on the definition of a spreading interaction.
An analyst examines a line graph representing a factorial design. They observe that the lines for the two groups are completely parallel in one condition but strongly diverge in the other condition. The analyst should conclude that this pattern of results represents a _____ interaction.
Order the steps a researcher must take to evaluate a visual plot and determine if the data represents a spreading interaction.