Ch. 10 - Complex Experimental Designs Flashcards
Levels
-Also called groups or conditions, of the independent variable
Factorial design
-Has more than one independent variable (or “factor”), and all levels of each independent variable (IV) are combined with all levels of the other independent variables.
of levels of 1st IV x # of levels of 2nd IV
Main effect
- Is the effect that each independent variable BY ITSELF has on the dependent variable
- Essentially, the main effect pretends that the other independent variable didn’t exist in this experiment
Moderator variable
-Influences the relationship between two other variables
Simple main effect
-A simple main effect analysis examines the mean differences at EACH LEVEL of one independent variable
Main effect vs simple main effect
- The main effect of an independent variable takes the average ACROSS the levels of the other independent variable
- With simple main effects, the results are analyzed as if we had separate experiments WITHIN each level of the other independent variable
IV x PV design
- A factorial design that includes both an experimental independent variable (IV) and a non-experimental participant variable (PV)
- Allows researchers to investigate how different types of people respond to the same manipulated variable
- These participant variables are often personal attributes such as sex, age, ethnic group, personality characteristics, or clinical diagnostic category
- The simplest IV x PV design includes one manipulated independent variable that has 2 levels and one participant variable with 2 levels
Mixed-factorial design
-A design that includes both independent groups (between-subjects) and repeated measures (within subjects) variables
Ways to increase complexity of factorial designs?
- Increase the number of levels of one or more of the independent variables
- Increase the number of independent variables
Higher order factorials
-When we have more than 2 independent variables