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Two-Way_Analysis_of_Variance

# Two-Way_Analysis_of_Variance - Two-Way Analysis of Variance...

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Unformatted text preview: Two-Way Analysis of Variance Two-Way Anova Examines research questions concerning how behaviours/mental processes are impacted by TWO different variables Variables are known as “factors” Each “factor” can have multiple levels Two-Way ANOVA better known as “Factorial Designs” When describing the type of factorial design study done, usually identify the number of levels for each factor Example: Simplest would be 2 x 2 factorial What would a 5 x 3 factorial suggest? What would a 3 x 2 x 5 factorial suggest? Two-Way Anova Example: Compare the effects of varying room temperatures and chair comfort on the attention span of Capilanou students 2 independent variables ~ factors Factor A (Fa) Factor B (Fb) Room temp Chair comfort Two-Way Anova Can create a matrix that reflects the unique combinations of Fa x Fb Logic of Two-Way Anova Partition out the sources of variance:...
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Two-Way_Analysis_of_Variance - Two-Way Analysis of Variance...

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