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Understanding Factorial Designs by Rain Tolentino is a document available to read on EtoBox.

This document discusses factorial designs, which involve more than one independent variable. It defines factors and main effects, and explains that factorial designs allow investigation of interaction effects. A 2x3x3 design is provided as an example, with three independent variables and 18 treatment conditions. Interactions and higher-order interactions are defined and examples given. Factorial designs are more efficient than separate experiments and better recreate real-world complexity. Between-subjects

Author
Rain Tolentino
Language
EN