Factorial Designs Overview

These flashcards cover key concepts related to factorial designs, including definitions and examples of various components involved in the design and analysis of experiments.

Factorial Designs

Experiments that manipulate two or more independent variables at the same time.

Independent Variables (IVs)

Factors in an experiment that are manipulated to observe their effect on the dependent variable.

Dependent Variable (DV)

The outcome measured in an experiment to see if it is affected by the independent variables.

Main Effects

The direct influence of an independent variable on the dependent variable, irrespective of other variables.

Interaction Effects

When the effect of one independent variable on the dependent variable depends on the level of another independent variable.

2 x 2 Design

A factorial design with 2 independent variables, each having 2 levels.

3 x 3 x 2 Design

A factorial design with 3 independent variables, one having 2 levels and the other two having 3 levels each.

Between-Subjects Factorial Design

A design where different groups are used for each combination of the independent variables.

Within-Subjects Factorial Design

A design where all participants experience all combinations of the independent variables.

Factorial ANOVA

A statistical test used to examine the main effects and interactions in factorial designs.

Significant Interaction

When the effect of one independent variable varies at different levels of another independent variable.

Graphing Results

Using bar graphs or line graphs to visualize main effects and interactions.

Examples of Factorial Designs

2 x 2, 2 x 3, and 3 x 3 designs that illustrate different configurations of independent variables.