behl3034 wk 4 factorial anova

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5 Terms

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Factor & Model

Factor: IV/factor we’re interested in

Factorial: when using 2+ IVs/factors

Model: relationships between tested variables

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Main & Interaction Effect

Main: effect of one IV averaged across levels of other IVs on a DV

Interaction: effect of one IV depends on value of another IV → IVs have combined impact on DV

3
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Factorial Designs (GIS)

Greater IVs in factorial design, greater potential interactions

Increases statistical power by reducing error variance by modelling mutliple effects

Shows interactions, allow testing of main/interaction effects

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ANCOVA (ARC)

ANOVA with an extraneous/covariate variable (uncontrolled factor that may impact results)

Reduces error variance as covariates explain part of residual variance & sometimes model variance

Covariate must be linearly related to DV → tested by scatterplot

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Mixed ANOVA

Type of factorial ANOVA
At least one between-subjects and within-group IV

Can include covariates