Hi everyone. I am a PhD student. I have designed an educational manipulative and have to validate it with children. I am using between subject design for it. So there would be two groups- experimental (to be taught with my manipulative) and the control group (to be taught with regular black board method). I am however not sure about what should be the number of participants to be taken in each of the control and experimental groups? Is there a standard number that would be suffice for the PhD requirement? Also this is my last year and I need to gear things up so have to take an appropriate decision.
Any help would be truly appreciated.
Thank you.
Ekta
Hello Ekta, Normally the usual answer that I had is ”until data saturation” but it is often not a realistic possibility. What I know is probably your first comparative work (1 control group & 1 tool experimentation group) will help you to ajust the protocol to test your research device and comparaison criteria. And then conduct the v2 protocol between two classes. The data generated from v1 and v2 (4 classes recruited) will be I think enough to take a data based decision to know if you need to recruit 2 other classes. Maybe you will have enough “bold“ data to present your conclusion and you will probably outline what kind of dimension of the tool need more experimentation. I hope it helps you !
Hello Ekta,
You have experimental group and Control group. You want to teach both groups the same content usuing two different methods (one for each). Then you want to compare thier academic achievement (outcome).
What is the nature of your outcome measure? Are you setting a test score over 100% (continuous variables)?
What effect size do you require large or moderate?
Then download a G*power version 3.10, sample size calculation software.
Select t-test between subjects, put your desired effect size, alpha level 0.5, power 95% and calculate your required sample size.
I wish you good luck.
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