PSY 250 Chapter Notes - Chapter 10: Extraversion And Introversion, Repeated Measures Design
31 Mar 2016
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A iv with only two levels cannot show this: curvilinear relationship- inverted u- wide range of levels of the iv produce inverted u shape. Increasing the # of ivs: factorial designs. Closer approximation of the real world because in the real world conditions- independent variables do not exist by themselves. Factorial design- design with more than one iv. Simplest factorial design is 2 by 2. Number of levels of first iv x number of levels of 2nd iv x number of levels of 3rd iv . 2x2= 4 conditions: interpretation of factorial designs. Factorial designs give two types of information: main effect and interaction. Main effect: the effect of each independent variable taken by itself: in an experiment with 2 iv there are two main effects. Interactions: one effect of one iv id different at different levels of the other independent variable: this is that an interaction tells us that the effect of one.
