ANOVA and ANCOVA Testing

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Ad Hoc testing - tests you run after data collection

post hoc- tests you run after data collection to find out which groups are specifically different

A priori- planned ahead of time

you intended to compare the groups prior to data collection

ANOVA Testing (F-test)

extension of t-test and allows us to test 2 or more groups

determines variation of scores within each group and between all of the groups

Can tell you the groups are different but doesn't tell you which groups are

Ad hoc will give you that info

Two-way/Factorial ANOVA

two IVs acting on one DV

one continuous variable and two nominal variables

Repeated Measures ANOVA

similar to 1 way ANOVA, but the groups are related

We want a high F ratio and a low P-value = high probability that the groups are different

Effect sizes

tells us practical significance or meaningfulness

bigger effect size = bigger difference between the groups