I'm planning to conduct random control trials with two parallel groups. What effect size (magnitude of effect) should I input into G-Power to determine an appropriate sample size?
The previous trials had a small sample of around 10 to 15, which was a limitation on the trails, and I want to strengthen the evidence by having a larger sample.
To calculate the sample size using G*Power for a randomized controlled trial with two parallel groups, you'll need to determine an appropriate effect size to input. Effect size is a crucial parameter in sample size calculation, representing the magnitude of the effect you expect to detect in your study.
Given that you want to strengthen the evidence with a larger sample than the previous trials (with small sample sizes of around 10 to 15), you may want to aim for a larger effect size to detect a more substantial difference. Here's a step-by-step guide:
By aiming for a larger effect size and using appropriate power (e.g., 0.80 or higher) and significance level (α = 0.05), you can calculate the required sample size to strengthen the evidence in your randomized controlled trial. Adjust the effect size until you achieve a sample size that is feasible and practical for your study while maintaining adequate statistical power.
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