| Summary: | 碩士 === 國立交通大學 === 管理科學系所 === 103 === Whether in the natural sciences or the social sciences, intraclass correlation coefficient is always used to measure the degree of the correlation between the interclass variation and the intraclass variation. This index reflects the differences between groups of data. It’s always regard as a way to inspect variation of variable is interpreted by variable between groups for evaluating whether integrating individual data to group information. Also, intraclass correlation coefficient is used to inspect the consistency of retest measured results. In this dissertation, the SAS/IML software is used to construct the model, and there are two simulation situations, interval width and interval coverage rate, to find the optimal sample size in conditions of conditional level, measurement and intraclass correlation coefficient. These calculated sample size are analyzed and compared.
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