Mixed ANOVA Key Terms

Flashcards on Mixed ANOVA

Mixed Factorial Design

A design that includes at least one between-participants factor and one within-participants factor.

Between-Participants Factor

Participants are different people in each condition.

Within-Participants Factor

Participants are the same people in each condition.

Main effect of the between-participants factor

Comparing the marginal DV means of the two between-participants conditions, averaging over the within-participants factor.

Main effect of the within-participants factor

Comparing the marginal DV means of the three within-participants conditions, averaging over the between-participants factor.

Interaction effect

Comparing the cell DV means of one factor at each level of the other factor to see whether the effect of that factor changes at each level of the other factor.

Participants within groups

Variation in DV attributable to individual differences on the DV between participants within each of the BP conditions

WP factor x Participant

Residual variation in DV resulting from random inconsistencies in the effect of the WP factor across participants

Counterbalancing

Randomly allocate participants to complete conditions in different sequences to combat order effects.

Ecological Validity

Advantage of mixed designs that means that they can better reflect real-world scenarios where people belong to existing groups.

Nested Designs

The BP factor is constant with the WP factor.

Test Interactions

Advantage of mixed design is to be able to test all interactions of WP and BP factors.

Research Questions (Interaction)

Is the interaction effect of the factors on DV dependent of the levels/conditions of the other factors?

Simple Effects Analysis

The only way mixed design effects can be interpreted