ANOVA - created from Mind Map

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ANOVAs Basics

Deal with differences between/ among means of a sample

No restrictions on the number of means

ANOVAs allow more than one IV

IVs= factors Conditions= levels of factors

Between subject factors: levels vary between participants

Within subject factors: levels vary within a participant

Reporting findings: F(x,xx)= x.xx, p= (

ANOVA less likely to make a type 1 error than a t-test when there= 2+ IVs

F Ratio

Variance due to IV/ Error variance = F

Small F= error variance larger than IV varience

Large F= error variance smaller than IV variance

Large F= more likelihood variances caused by IV

Degrees of Freedom

Two figures need

Df- No of levels -1, then N - number of levels

Reading (one way) ANOVA output

DF: Condition df needed, error df needed. Total= sample size

Two-way ANOVA

2 factors

x*x e.g 2*2

Need 3 sig. tests as= 2 main effects, 1 interaction

Examine interaction first, if that not present examine main effects

Interaction: the way in which the two factors interact.An interaction is when one variable behaves differently in each condition of the other variable

ANOVA