Approximate Confidence Interval for Effect Size Base on Bootstrap Resampling Method
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Published:
Aug 7, 2018
Keywords:
Effect size Bootstrap method Meta-analytic confidence interval
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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.
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How to Cite
Phanyaem, S. (2018). Approximate Confidence Interval for Effect Size Base on Bootstrap Resampling Method. Applied Science and Engineering Progress, 11(4), 257–261. Retrieved from https://ph02.tci-thaijo.org/index.php/ijast/article/view/175399
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Research Articles
References
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[5] D. G. Bonett, “Meta-analytic interval estimation for standardized and unstandardized mean differences,” Psychological Methods, vol. 14, pp. 225–238, 2009.
[6] B. Efron and R. Tibshirani, “Bootstrap methods for standard errors, confidence intervals and other measure of statistical accuracy,” Statistical Science, vol. 1, pp. 54–57, 1986.
[7] J. Cohen, Statistical Power Analysis for the Behavioral Sciences, 2nd ed. Hillsdale, NJ: Erlbaum, 1988.