PSY 3213 Practice Questions with 100% Verified
Answers
Simple Experimental Design
1 independent variable, 1 dependent variable
Factorial Designs
designs with more than one independent variable
Each independent variable is called a...
Factor
Ex: Type of exercise; Type of diet
Each factor has...
>1 level
Ex: Aerobics, Weights, Intervals, Low sodium, No diet
Each condition is...
A specific combination of levels
Ex:Aerobic exercise & Low salt, Weights & Low salt, Aerobic & No diet
Types of Factorial Designs
~Number of numbers reveals number of independent variables
~Value of each number reveals number of levels of each independent variable
Ex: 3x2, 2x2, 3x3
, What does factorial designs allow us to do?
To look at combinations of independent variables as the same time (more like real life
situations)
How many independent variables should a factorial design have?
~Theoretically, there is no limit, but keep it simple.
~No more than 2 or 3
Using 2 or more independent variables can reveal both main effects and interactions
FACT
Main Effect
The sole effect of one independent variable in a factorial design
Interaction
the joint simultaneous effect on the dependent variable of more than one independent variable
Crossover Interaction
an interaction in a 2x2 factorial design in which the two simple effects are opposite in direction
Spreading Interaction
The effect of one independent variable on the dependent variable is STRONGER at one level of
the other IV than it is at the other level.
No Interaction
There is a main effect for both independent variables on all levels
Moderator
a variable that, depending on its level, changes the relationship between two other variables
Participant Variable
Answers
Simple Experimental Design
1 independent variable, 1 dependent variable
Factorial Designs
designs with more than one independent variable
Each independent variable is called a...
Factor
Ex: Type of exercise; Type of diet
Each factor has...
>1 level
Ex: Aerobics, Weights, Intervals, Low sodium, No diet
Each condition is...
A specific combination of levels
Ex:Aerobic exercise & Low salt, Weights & Low salt, Aerobic & No diet
Types of Factorial Designs
~Number of numbers reveals number of independent variables
~Value of each number reveals number of levels of each independent variable
Ex: 3x2, 2x2, 3x3
, What does factorial designs allow us to do?
To look at combinations of independent variables as the same time (more like real life
situations)
How many independent variables should a factorial design have?
~Theoretically, there is no limit, but keep it simple.
~No more than 2 or 3
Using 2 or more independent variables can reveal both main effects and interactions
FACT
Main Effect
The sole effect of one independent variable in a factorial design
Interaction
the joint simultaneous effect on the dependent variable of more than one independent variable
Crossover Interaction
an interaction in a 2x2 factorial design in which the two simple effects are opposite in direction
Spreading Interaction
The effect of one independent variable on the dependent variable is STRONGER at one level of
the other IV than it is at the other level.
No Interaction
There is a main effect for both independent variables on all levels
Moderator
a variable that, depending on its level, changes the relationship between two other variables
Participant Variable
