Griffith University
Question
Asked 4 October 2017
Confused with numerator degrees of freedom. How to calculate sample size using ANCOVA measures in Gpower?
Can anyone please advised me on calculating sample size using Gpower? I want to see the effect of an intervention( independent variable: 2groups) on mental health (continuous) of participants and I have considered baseline outcome measure as a covariate? How can I calculate the sample size in this case? Furthermore, my two secondary outcomes (both are in continuous scale) are also affected by intervention according to the previous literature. In such case, do I have to consider them as a covariate? I am confused on numerator df and don't know what to put in both of these instances?
Most recent answer
Thank you
Popular answers (1)
The way I try to remeber this is to think of the denominator as the size of the cake and the numerator as the topping. The size is a matter of hard work, the topping is the design of the analysis. If you have two conditions and three diagnostic groups and would like to test the interaction of intervention by diagnosis with baseline-scores as co-variate, then in Gpower you get Numerator df= (2-1)*(3-1)=2, Number of groups=6, Number of covariates=1. With power .80 and alpha .05 and an expected effect of medium size you would need a total sample size of 128.
I don't see why you would include other secondary outcomes in this analysis if these outcomes are not correlated with your primary outcome. In another time and place you could have conducted seperate studies for your outcomes.
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All Answers (14)
Necmettin Erbakan University
Numerator df should be # of levels of your factor-1 namely 2-1=1. Yes you can consider them as covariates.
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The way I try to remeber this is to think of the denominator as the size of the cake and the numerator as the topping. The size is a matter of hard work, the topping is the design of the analysis. If you have two conditions and three diagnostic groups and would like to test the interaction of intervention by diagnosis with baseline-scores as co-variate, then in Gpower you get Numerator df= (2-1)*(3-1)=2, Number of groups=6, Number of covariates=1. With power .80 and alpha .05 and an expected effect of medium size you would need a total sample size of 128.
I don't see why you would include other secondary outcomes in this analysis if these outcomes are not correlated with your primary outcome. In another time and place you could have conducted seperate studies for your outcomes.
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University of the Balearic Islands
Thanks, André, perfect answer. But I think the result of your example is 158, no 128. G*Power setting:
F-Test -> ANCOVA: Fixed effects, main effect and interactions.
A priori...
Effect size F = 0.25 (medium)
alfa = 0.05
Power = 0.80
Numerator df = 2
Number of groups = 6
Number of covariables = 1
...
Total Sample Size = 158
Department of Health of the Philippines
You are all wonderful people, I just came across this as I was figuring out the same thing: numerator df.
Thank you all!
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University of Haifa
Similarly to the question above, we have 3 groups and 2 covariates. Is the numerator df in this situation 2 (3-1)? or 5 (6-1)?
University of Cienfuegos
I think it is a serious and reliable tutorial.However You must view it with caution.
There are other materials that shorten the way.
In these times we need concreteness, speed, but certainty of what is right.
regards
Reinaldo
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