Dear Researchers,
I am currently wondering how to calculate the required sample size for my study.
I have the following study design:
- 1 Independent variable (metric)
- 3 Dependent variables (metric).
I want to test, weither the IV has an effect on the 3 DVs. Therefore, I need to do a multivariate regression analysis (as far as I know).
For the sample size calculation I planned to use GPower, which however does not provide the test of multivariate regression. Does anybody has experience with sample size calculation for multivariate regression models?
Would be really helpful!
Thanks in advance, Lissy
Hello Lisa-Marie,
Functionally, your question is no different from asking whether scores from three predictors (IVs) are systematically related to scores from a single dependent variable (DV). So, in G*Power, you could use ordinary multiple linear regression set-up (F-tests family; Linear multiple regression, fixed model, R-squared deviation from zero).
Good luck with your work.
You may use PS software for sample size calculation. It can be downloadable easily and it has a functional tab regression to calculate the required sample size for you.
Dear Lisa-Marie Rückel , from my understanding it is that you are looking at 1 independent variable and measuring 3 outcome variables. The simplest thing to do is to use G-Power and just consider 1 outcome measure. If the effect size you are looking is the same for all 3 outcomes (it should be) then that sample size is what you would use. Then you just do the analysis 3 times.
Thanks to all of you for your quick response and helpful answers! :)
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