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首页> 外文会议>2011 International Conference on Computer Science and Service System >Intraclass correlation coefficient and its application to quality tests of measurement instrument
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Intraclass correlation coefficient and its application to quality tests of measurement instrument

机译：类内相关系数及其在测量仪器质量测试中的应用

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摘要

Correlation coefficients are dominant indexes of measurement instrument quality. Among the varieties of correlation coefficients Pearson product moment correlation coefficient is the most popular. That is why intraclass correlation attracts relatively less relation. But in certain conditions, Pearson product moment correlation coefficient is not effective and intraclass correlation takes advantage in stead. Intraclass correlation coefficient plays an important role in testing the quality of measurement instruments in behavior sciences, psychological measurement, behavioral genetics and medical sciences. In case of the constructs to measure is two or more aspects of the same concept, to test the reliability and the validity of the measurement intraclass correlation will exert its prevailing advantages. If correlation between unorder pairs groups of interest, Pearson product moment correlation will be of no sense in this case and intraclass correlation coefficient functions properly. Under the frame of ANOVA, three basic models of intraclass correlation are classified, as are models of one-way random effects, two-way random effects and two-way mixed-effect. This study will focus on the model of one-way random effects and its application in measurement instrument quality test.
机译：相关系数是测量仪器质量的主要指标。在各种相关系数中，皮尔逊积矩相关系数是最受欢迎的。这就是为什么类内相关吸引相对较少的关系的原因。但是在某些情况下，皮尔逊乘积矩相关系数无效，而组内相关取而代之。类内相关系数在测试行为科学，心理测量，行为遗传学和医学科学中的测量仪器的质量方面起着重要作用。如果要测量的结构是同一概念的两个或多个方面，则测试测量的信度和有效性在类内相关性方面将发挥其主要优势。如果感兴趣的无序对组之间具有相关性，则在这种情况下，Pearson乘积矩相关性将是没有意义的，并且组内相关系数可以正常运行。在方差分析的框架下，分类内关联的三个基本模型，即单向随机效应，双向随机效应和双向混合效应的模型。这项研究将集中于单向随机效应模型及其在测量仪器质量测试中的应用。

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