Static Analysis of Groups Question:

What are the two main reasons for using ANCOVA?

Answer:

1. To increase error variance AND to adjust the means on the covariate so that the mean covariate score is the same for all participants.
2. To reduce error variance AND to explore patterns of correlations.
3. To reduce error variance AND to correct the means on the covariate.
4. To reduce error variance AND to adjust the means on the covariate so that the mean covariate score is the same for all groups.

To reduce error variance AND to adjust the means on the covariate so that the mean covariate score is the same for all groups

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You are conducting a study. The IV is attachment style. There are three groups of individuals with different attachment styles; these are secure, dismissing, and fearful. You want to explore whether these differ on their scores of relationship satisfaction. The DV is relationship satisfaction. You are aware, however, that relationship satisfaction is known to co vary with depression.

You conduct an ANCOVA with this data. The formula will remove the variance due to the association between which two variables?

Consider the hypothetical study presented in question 2. If you were conducting this analysis, what variable would you put into the covariate box?