Chapter 14 GLM 3: Factorial Designs Flashcards
1
Q
Factorial ANOVA (2)
A
- An analysis of variance
2. involving two or more independent variables or predictors
2
Q
Independent Factorial Design (2)
A
- An experimental design incorporating two or more predictors (or independent variables)
- all of which have been manipulated using different participants (or whatever entities are being tested)
3
Q
Interaction Graph (4)
A
- A graph showing the means of two or more independent variables
- in which means of one variable are shown at different levels of the other variable.
- Usually the means are connected with lines, or as displayed as bars.
- These graphs are used to help understand interaction effects.
4
Q
Mixed Design (4)
A
- An experimental design incorporating two or more predictors (or independent variables)
- at least one of which has been manipulated using different participants (or whatever entities are being tested)
- and at least one of which has been manipulated using the same participants (or entities).
- Also known as a split-plot design because Fisher developed ANOVA for analysing agricultural data involving ‘plots’ of land containing crops.
5
Q
Related Factorial Design (2)
A
- An experimental design incorporating two or more predictors (or independent variables)
- all of which have been manipulated using the same participants (or whatever entities are being tested).
6
Q
Simple Effects Analysis (2)
A
- This analysis looks at the effect of one independent variable (categorical predictor variable)
- at individual levels of another independent variable