Date of Award
12-14-2015
Document Type
Open Access Dissertation
Department
Educational Studies
First Advisor
Xiaofeng Liu
Abstract
Statistical power is important in a meta-analysis study, although few studies have examined the performance of simulated power in meta-analysis. The purpose of this study is to inform researchers about statistical power estimation on two sample mean difference test under different situations: (1) the discrepancy between the analytical power and the actual power and (2) the influence of unequal sample size and unbalanced design on the power. Results indicated that there are noticeable discrepancies between the estimated power and actual power under certain conditions. In general, unbalanced design decreases the statistical power in the meta-analysis. Recommendations are provided for researchers who are interested in power of meta-analysis.
Rights
© 2015, Jin Liu
Recommended Citation
Liu, J.(2015). Statistical Power in Meta-Analysis. (Doctoral dissertation). Retrieved from https://scholarcommons.sc.edu/etd/3221