For example, I'm measuring post intervention scores of mindfulness (using pre intervention scores as a covariate) and previous meditation experience (covariate) comes up as significant or the amount of minutes spent meditating (covariate) emerges as significant (in ANCOVA).
Could I then conclude that more minutes spent meditating or more meditation experience results in higher mindfulness scores?
The easiest way is to remember that correlation coefficient of x and y=covariance of x and y/(SDx*SDy). OOPs Sorry. You seem to be confusing a covariATE with a covariANCE. I can't answer the question because I can't figure out what the response variable is. Help? It would clarify things if you would write the model. Best Wishes.
Lydia, your question seems to be related to multiple regression with post intervention scores of mindfulness as dependent variable, pre intervention scores as a covariate or independent variable and previous meditation experience or the amount of minutes spent meditating again as independent variables or covariates. For ANOVA or ANCOVA you would need at least two groups, which you do not mention.
I guess that all independent variables are correlated? If all regression coefficients are positive, you could interpret your results such that when holding all other independent variables (covariates) constant, previous meditation experience has a positive effect on post intervention scores of mindfulness.
Does that help?
Regards, Karin
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