Analysis of variance

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Stats (Univariate ANOVA) Note on Analysis of variance, created by Sarah Windsor on 22/04/2013.
Sarah Windsor
Note by Sarah Windsor, updated more than 1 year ago
Sarah Windsor
Created by Sarah Windsor about 11 years ago
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Univariate = one wayMultivariate = two or more ways (two or more separate variables which can each divide sample into two groups)ANOVA can be used instead of T Test, even if only 2 levels, but should always be used for 3 or more groupsInteraction = does the effect of one variable affect the other?On plots = the steeper the line, the bigger the effectIf lines are parallel = no significant interactionPlots show where interaction is (in what direction); test figures only say how big it isMain effect (eg time or weather) = difference between average time/weather of one one variable compared to otherInteraction = difference between differencesTo run a contrast = insert following before /method; /contrast(variable name) = special (.....) - contrast weightsScheffe (post-hoc) - use same procedure as normal, inc contrasts but ignore significance.Scheffe criterion = (K-1) x Tabled value of Fk-1, error df  where K = number of levels in factor being examinederror df = degrees of freedom of demonimator from tableIf F = higher than scheffe criterion answer it is significant

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