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6 Cards in this Set
- Front
- Back
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What is two-way ANOVA? Provide a factorial design example. |
Two-way ANOVA is used when there is only one DV, but 2 or more IV’s Example: An analysis with 2 IV’s, the first one with 3 conditions and the second one with 2 conditions = 3x2 design |
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What are the three main sources of variance in a between-participants factorial design? |
1) The main effect due to the first condition 2) The main effect due to the second condition 3) The interaction between these |
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What does an interaction graph show? |
An interaction graph is used to present an interaction between variables/conditions If lines are parallel, there is no interaction between conditions *Only interpret main effects if there are significant interactions |
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What are simple (main) effects? |
If you get a significant interaction in your data, then a simple effects analysis is appropriate Simple effect is the difference between any two conditions of one IV, in one of the conditions of another IV Equivalent to t-tests but involve calculations of F-values |
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What are some assumptions of repeated measures 2-way ANOVA? |
• Data is chosen randomly from the population • Scores measured on an interval scale & from normally distributed populations • Samples in each condition are from populations with equal variances (assumption of homogeneity of variance) • Assumption of sphericity |
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What is a two-factor mixed design ANOVA? |
Used when there are independent measures on one of the factors, and repeated measures on the second of our factors 2 IV’s with ‘x’ conditions (repeated measures factor), and ‘age’ with 2 conditions (independent measures factors) *Assumptions same as repeated measures 2-way ANOVA |
