Chapter 14 GLM 3: Factorial Designs Flashcards

1
Q

Factorial ANOVA (2)

A
  1. An analysis of variance

2. involving two or more independent variables or predictors

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2
Q

Independent Factorial Design (2)

A
  1. An experimental design incorporating two or more predictors (or independent variables)
  2. all of which have been manipulated using different participants (or whatever entities are being tested)
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3
Q

Interaction Graph (4)

A
  1. A graph showing the means of two or more independent variables
  2. in which means of one variable are shown at different levels of the other variable.
  3. Usually the means are connected with lines, or as displayed as bars.
  4. These graphs are used to help understand interaction effects.
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4
Q

Mixed Design (4)

A
  1. An experimental design incorporating two or more predictors (or independent variables)
  2. at least one of which has been manipulated using different participants (or whatever entities are being tested)
  3. and at least one of which has been manipulated using the same participants (or entities).
  4. Also known as a split-plot design because Fisher developed ANOVA for analysing agricultural data involving ‘plots’ of land containing crops.
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5
Q

Related Factorial Design (2)

A
  1. An experimental design incorporating two or more predictors (or independent variables)
  2. all of which have been manipulated using the same participants (or whatever entities are being tested).
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6
Q

Simple Effects Analysis (2)

A
  1. This analysis looks at the effect of one independent variable (categorical predictor variable)
  2. at individual levels of another independent variable
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