Sample Size for Hypothesis Testing of Standardized Multivariate Effect between Groups
碩士 === 國立交通大學 === 管理科學系所 === 103 === Sample size, an issue, which is concerned in many fields of research. We can save a lot of cost of human resources and time if researchers can master the technique of optimum sample size of their research. The term, called effect size, which is a quantitative mea...
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| Format: | Others |
| Language: | zh-TW |
| Published: |
2015
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| Online Access: | http://ndltd.ncl.edu.tw/handle/23741977171513614281 |
| Summary: | 碩士 === 國立交通大學 === 管理科學系所 === 103 === Sample size, an issue, which is concerned in many fields of research. We can save a lot of cost of human resources and time if researchers can master the technique of optimum sample size of their research. The term, called effect size, which is a quantitative measure of the strength association and the difference between populations. There are more practical meanings and applications with attaching the effect size in research. If we could attach the effect size with our study, we could easily understand the importance of studies. The form of effect size will be different in the method of statistic and the fields. In order to reflect the condition in real world, we use MANOVA model and Monte Carlo simulation. According to null-hypothesis significance testing we discuss the optimal sample size in groups given the significance level and the power we accepted.
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