ANOVA Intro + Post-Hoc Test

F-Test

Compares varience estimates between groups and within groups

Levels

categories of conditions within a varible

Effect Size

Percentage of varieance by treatment conditons

Post Hoc Test

Additional hypotheses after ANOVA to find differences

Scheffe Test

Uses F-ratio to evaluate significance between two treatments

Reapeated-Measures ANOVA

Evaluates mean differences in repeated conditons

Relatoinship with T Tests

F= t2, same hypotheses, matching distributions

ANOVA

Analysis of vareince evaluates mean differences between populations

Total Varibility

Divided into between groups and within groups variability

Assumptions

Normal distributions, equal standard deviation, independent samples

One-way ANOVA

one factor with multiple groups or treatments

Tuckey’s HSD Test

Comapres any two treatment conditons with a minimum difference value

Power of Repeated-measures ANOVA

Eliminates Varibility from indvidual differences

Hypothesis Testing

Similar to One-way ANOVA, F-ratio is used