L7 Flashcards
The simples factorial design
Two factor experiment
Called factors
Independent variables
designs with two or more independent variables
Factorial design
efficient and provide more information than experiments with one independent variable
Experiment with more than independent variables
They give us information about the effects of each independent variable in the experiment
Factorial Design
effects of each independent variable in the experiment
Main effects
They enable us to answer the question: How does the
influence of one independent variable affect the
influence of the other variable.
Factorial Design
The action of a single independent variable in an experiment
Main effect
A change in behavior associated with a change in the value of a single independent variable or factor in the experiment.
Main effect
allows us to test for the relationships between the effects of different independent variables.
Factorial design
An interaction is present if the effect of one independent variable changes across the levels of another independent variable.
Factorial design
The effects of one factor will change depending of the
level of the other
Interaction
can tell us that there are limits to the effect of one or more factors
Interaction
More than two independent variables result to more
complex interactions
Higher-order interaction
There are 12 separate conditions
2 x 3 x 2 factorial design
There are 3 numbers which means there are 3 factors or independent variable
2 x 3 x 2 factorial design
one key reason for doing factorial research
Measuring interactions
we can assess whether the effect of one variable depends on the level of another variable.
Looking at two or more variables together
