8: Factorial Designs Flashcards
what is the advantage factorial designs have over single factor designs
can show interactive effects
What is a factorial design
any study with more than one independent variable
levels vs conditions
○ Levels
§ The number of levels of any one independent variable
○ Conditions
§ The number of cells in a matrix
Describe what main effects are and how they are determined
- Overall influence of each of the independent variables
- The difference between the means of the levels of any one independent variable
- Determining it involves combining all of the data for each levels of that factor
○ Calculate row means and column means
Describe what interactions are
Examines whether the variables combine to form a more complex result
When the effect of one independent variable depends on the levels of another independent variable
Review how to make graphs for factorial designs
check ch8
In addition to the 4 single factor designs, what other 3 designs add to the variety of factorial designs
Mixed factorial designs (both between and within subjects in one study)
P x E factorial designs (both a subject variable and a manipulated independent variable - Can yield an interaction between the type of person (P) in the study and the situation or environment
mixed P x E factorial design (P is between, E is within)
Correlation tradition (PxE designs)
The study of individual differences and the P factor looks specifically at these differences
A significant main effect for this factor shows two different TYPES of individuals perform differently on whatever behaviour is being measured as the independent variable
Experimental tradition (PxE designs)
Concerned with identifying general laws of behaviour that apply to some degree to everyone regardless of individual differences
Finding a significant main effect for the manipulated E factor indicates the situational factor is powerful enough to influence the behaviour of many kinds of people
