PSY 230 Lecture Notes - Lecture 12: Factorial Experiment
18 Apr 2017
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Document Summary
Chapter 12: experiments with more than one independent variable. Each adds to our understanding of the dv. Impact of first iv depends on value of the second iv. How experiments with two independent variables can show interactions. In a factorial design, a participant variable is treated like an independent variable. Interpreting factorial results: main effects and interactions. Each iv has at least two levels. Ics are crossed with each other, creating all possible combinations of the levels. Ivs can be participant variables or manipulated variables. Ivs can be within-groups variables or independent-groups variables. Interaction: the effect of one independent variable depends on the other independent variable. Interaction: the difference depends on or the difference is especially for . We don"t live in a main effect world. A factorial design with two independent variables, one with two levels and the other with three levels, would be represented in a factorial design as 2 x 3.
