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Factorial Design Notation
Factorial designs use a specific numerical notation to describe their structure, where each number represents one independent variable and its value indicates the number of levels for that variable. By multiplying these numbers together, researchers can determine the total number of experimental conditions. For example, a factorial design indicates two independent variables—one with three levels and one with two levels—resulting in a total of six distinct conditions. While these designs can theoretically include any number of variables and levels, logistical constraints regarding the large number of conditions and required participants make designs with more than three independent variables uncommon in practice.
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Research Methods in Psychology - 4th American Edition @ KPU
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Factorial Design Notation
Main Effect
Example of a Factorial Design Table
Between-Subjects Factorial Design
Within-Subjects Factorial Design
Mixed Factorial Design
Non-Experimental Factorial Design
Graphing Factorial Experiments
Factorial ANOVA
Example of a Non-Manipulated Independent Variable: Private Body Consciousness
Interaction Effect
Example of a Factorial Design
Example of a Factorial Design
What is the defining characteristic of a factorial design?
In a factorial design, researchers evaluate multiple independent variables by testing each one in separate, isolated conditions rather than combining them.