PSYB01H3 Chapter Notes - Chapter 10: Fear
Document Summary
Sometimes an experiment might need more than 2 levels of independent variables: sometimes one might need three or four. If it has this then there are at least 3 levels being used: relationship between fear arousal and attitude change is one example. Researchers usually manipulate 2 or 3 independent variables simultaneous to give a real world effect. Factorial design- designs with more than one independent variable: all levels of each independent is combined with all levels of the other independent, they have 2 kinds of info: Main effect- info about the effect of each independent variable taken by itself. The main effect of independent variable a (type of question) is overall effect of the variable on the dependent measure. The main effect of independent variable b (type of questioner) is the effect of diff types of questioners on accuracy of recall. Interaction- effect of one independent variable depending on the particular level of the other variable.
