Final answer:
False. Meta-analysis does not reduce the risk of a Type I error compared to a single study.
Step-by-step explanation:
False.
Meta-analysis is a statistical technique used to combine the results of multiple studies on a specific topic. While it can provide a more comprehensive and precise estimate of the true effect size, it does not reduce the risk of a Type I error compared to a single study. A Type I error refers to incorrectly rejecting a null hypothesis when it is true, and it is influenced by factors such as the significance level chosen for the study and sample size.
For example, if a meta-analysis combines the results of several studies with small sample sizes and a high significance level is used, it may increase the risk of Type I errors. On the other hand, if a single study has a large sample size and a conservative significance level is chosen, it can reduce the risk of Type I errors.