PSYC 201W Chapter 10: Complex Experimental Designs
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With two levels, results can only be described in a straight. Nonmonotonic or curvilinear relationship: example: inverted-u relationship, at least three or more levels needed line. Factorial designs (p. 186) designs with more than one independent variable. All levels of each design are combined with all levels of the other independent variables. Simplest factorial design: 2x2 design (2 independent variables with two levels) Yield two kinds of information o: main effect effect of each independent variable taken by itself. Overall relationship between the iv and the dv: interaction the effect of one iv depends on the particular level of the other variable. Iv x pv designs (p. 189) allow researchers to investigate how different types of individuals respond to the same manipulated variable: participants variable personal attributes such as gender, age, ethnic group, personality, characteristics, and clinical diagnostic category. Moderator variable -- influences the relationship between two other variables.