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10 Cards in this Set
- Front
- Back
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Multifactor Experiment |
manipulating more than one independent variable |
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Two-way design |
Manipulate two independent variables. |
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Factorial design/complete factorial design |
Combine all levels of one factor with all levels of the other factor. |
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Two-way between-subjects ANOVA |
randomly assigned participants to every cell with no matching or repeated measures. |
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main effect |
It's the influence that changing it has ont eh dependent scores, ignoring any other factors in the study. |
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interaction effect |
examine the influence that combining the levels from the different factors has on dependent scores. |
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two-way interaction effect |
It's present when the influence of changing one facotr is not consistent for each level of the other factor:the effect of improving mood under high self-awareness is not the same as that under low self-awareness. |
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unconfounded comparisons |
comparing cell means that differ along only one factor. |
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simple main effect |
It's the effect of one independent variable at one level of a second independent variable. |
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two-way within-subjects ANOVA |
if 1. repeatedly measurethe same group of participants in all conditions 2. match participants in all cells or 3. have matched groups on one variable and repeated measures on the other |
