ANCOVA

Question 1

ANCOVA

Answer 1

compares several means adjusted for the effect of one or more other variables

Question 2

covarients

Answer 2

continuous variables tha are not part of the main experimental manipulation by have an effect on the dependent variable

Question 3

how do you check independence of covarients?

Answer 3

ANOVA or t-test

Question 4

why use covariants?

Answer 4

reduce within-group error varience

eliminate confounds

Question 5

what assumptions are present in ANCOVA

Answer 5

independence of covariant

homogeneitry of regression slops

Question 6

sidak corrections

Answer 6

similiar to bonferroni but less conservative, would use if concerned about lack of power

Question 7

homogenity of regression slops

Answer 7

if you plot a scatterplot for each group of participants w/covarient and the slops all look the same then the assumption has been met

Question 8

what are the consequences of not meetin gthe homogenity of regression slopes assumption

Answer 8

increase type 1 error rate

Question 9

what do you use to calculate effect size for ANCOVA

Answer 9

partial eta sequard

Question 10

partial eta squared

Answer 10

looks at the proportion of variance that a variable explains that is NOT EXPLAINED by other variables in the analysis