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Simple experiments
involve one IV with two levels:
Factorial Design
A Research design with two or more IVs (called factors in this experimental design).
Factorial Designs PRO
Allows exploration of interaction effects between variables, which cannot be done with two single factor designs
Interaction Effects
An interaction occurs when the effect of one IV depends on the level of another IV.
Example: Temperature of food and type of food affect preference (e.g., cold pancakes vs. hot pancakes).
Main Effect
the effect that each IV has by itself on the dependent variable (the effect of one IV is averaged over the levels of the other Independent variables
INteraction effect
Evaluation of combined impacts shown on graphs
Repeated Measures Design:
Same participants across all conditions.