Approximate Confidence Interval for Effect Size Base on Bootstrap Resampling Method

Abstract

This paper presents the confidence intervals for the effect size base on bootstrap resampling method. The metaanalytic confidence interval for effect size is proposed that are easy to compute. A Monte Carlo simulation study was conducted to compare the performance of the proposed confidence intervals with the existing confidence intervals. The best confidence interval method will have a coverage probability close to 0.95. Simulation results have shown that our proposed confidence intervals perform well in terms of coverage probability and expected length.