You lead a product-testing unit for a large sports nutrition company. Your team has conducted forty trials of a new energy supplement but you are not sure if the results are conclusive enough to urge the company to start producing it. A new data analyst has joined your team suggesting that meta-analysis might be a good idea, do you agree?
A) No, because the forty trials were identical and tested the same research question we cannot calculate an average significance for the new supplement.
B) No, because the forty trials were identical and tested the same research question we cannot calculate an average effect size for the new supplement.
C) Yes, because the forty trials were identical and tested the same research question and therefore we can calculate an average significance for the new supplement.
D) Yes, because the forty trials were identical and tested the same research question and therefore we can calculate an average effect size for the new supplement.

Question

Quizplus · Accepted Answer

Since the forty trials were identical and tested the same research question, we can calculate an average effect size for the new supplement. Meta-analysis can be used to combine the results of multiple studies that address the same question and estimate the overall effect size. This can give us a more precise estimate of the true effect of the new supplement, and help us make an informed decision about whether to start producing it.

You Lead a Product-Testing Unit for a Large Sports Nutrition