Factorial ANOVA and Mixed Factorial Designs

These flashcards cover key vocabulary and concepts related to Factorial ANOVA and mixed factorial designs, including definitions of statistical terms used in the context of experimental design.

Mixed factorial design

An experimental design that incorporates both a between-subjects variable and a within-subjects variable.

Between-subjects variable

A variable in an experiment where different subjects are assigned to different levels of the variable.

Within-subjects variable

A variable in an experiment where the same subjects are exposed to all levels of the variable.

ANOVA (Analysis of Variance)

A statistical method used to compare means among three or more groups to determine if at least one group mean is significantly different from the others.

Sum of Squares

A measure of variability within a given dataset; used in calculating the F-statistic in ANOVA.

Degrees of Freedom (df)

A parameter that represents the number of independent choices or values in a statistical calculation, influencing the determination of significance.

F-statistic

A ratio used in ANOVA that compares the variance between group means to the variance within the groups.

Main effect

The direct effect of an independent variable on a dependent variable in an experiment.

Interaction effect

A situation in a factorial design where the effect of one independent variable on the dependent variable changes depending on the level of another independent variable.

Effect size: partial eta-squared (ηp²)

A statistic that provides a measure of the proportion of variance in a dependent variable that is associated with one or more independent variables.