12. Comparison of Several Means 2 Flashcards
assumptions of an ANOVA
- normally distributed data
- homogeneity of variance
- independence
- DV should be measured on interval scale
ANOVAs and independence
applies to independent ANOVAs, not repeated measures designs
How is the ANOVA a robust test?
it is still accurate even when certain assumptions are violated
violations of normality: groups not equal
accuracy of f-stat affected by skew
violations of normality: group sizes equal, have at least 21 subjects per group, low drop out rate
f-stat not affected by skew
violations of normality: group sizes equal, at least 40 subjects per group, higher drop out rate
f-stat not affected by skew
violations of normality: homogeneity of variance
when sample sizes are equal, ANOVA is robust to violations of homogeneity of variance
planned contrasts aka
planned comparisons
When do you used planned contrasts
- when you have an apriori directional hypothesis that you want to test (1 tailed)
- only needed if the f-stat is significant
What do planned contrasts allow you to do?
know where the significant difference lies
When are post-hoc tests used?
- 2 tailed test
- only needed when f-stat is significant
What do post-hoc tests consist of?
pairwise comparisons
What are pairwise comparisons?
- performing multiple t-tests to determine where significance lies
- correcting for inflated type I error rate
What happens as type 1 error rate decreases?
type II error increases
What does an increase in type II error rate = ?
decreased power