Factorial design Flashcards
simple vs complex
-simple design great for isolation simple causual relationship
-complex design have multiples iv(multiple conditions)
-allow us to examine if a relationship linear
-better approximation of the real world
-multiple ivs allow us to examine INTERACTIONS
iv=factor
conditions,groups in each factors=levels
complex designs = 2 or more factors
factoral design
-allows us to keep internal validity
-ramdom assignment to condition
-experimental control
2 x 2 x 3
2x2x3= 3 factors/iv(3 numbers)
factor 1 = 2levels/condition
factor 2=2levels/condition
factor 3 =3levels/condition
how many conditions:2x2x3=12
cell mean/avarage in this condition
For each condition (cell) the average
amount of $ spent is calculated across participants (ie.
total $ spent divided by number of spenders)
cell mean = total amount of money / total number of people
main effect
the effect that each IV,by itself,has on the DV(ignore main condition)
in a 2x2 design, there are two main effect (the main effect for each IV)
main effect when their is a difference between conditionyes/no
slide 17
the iv dosnt matter
(what type of food u get ) both will have the same amount of spending
interaction
an interaction between ivs indicate that the effect of one iv on the dv is different at different levels of the iv ?
is their a difference between dvs caused by ivs
moderator
When the effect of one IV on the DV depends on the
level of the “other” IV.
“Other”Iv=“Moderator”
ex:spending will moderate food type bought
factor experiment needs fewer participants then simple experiment
three main questions
first IV main effect
second Iv main effect
is their an interaction
benefits of factorial design
1-factor experiment needs fewer participants then simple experiment
2-we can see the interaction: we can see if the effect of one variable is constant across other levels
3-closer to real world conditions
