interaction effect
tests the effect of one independent variable at each level of another independent variable in an ANOVA
factor
independent variable or quasi independent variable
participant variable
a variable whose levels are selected, not manipulated
factorial design
is one in which there are 2 or more IV (factors)
moderators
the process of using a factorial design to test limits is called testing for
interaction
a difference in differences
main effect
the overall effect of one independent variable on the dependent variable, averaging over the levels of the other independent variable
in factorial design with 2 independent variables, there are two main effects
marginal means
the arithmetic means for each level of an independent variable, averaging over levels of the other independent variable
cell
conditions