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Characterising the relationship between participants’ scores on two different questionnaires is a common problem in educational research. The complement of the statistic known as Wilks’ Λ (lambda) measures the amount of variance shared between the scores obtained by the same group of participants on two sets of variables. (1 − Λ) is symmetric, in that it yields the same outcome whichever of the two sets is defined as the dependent variables. Other measures of shared variance have been proposed, but they are systematically conservative in comparison with (1 − Λ). In particular, measures of redundancy underestimate the proportion of shared variance because they fail to take into account the multivariate properties of the data. In short, (1 − Λ) can be commended for use as a measure of the strength of the association between the scores obtained on two questionnaires. 相似文献
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黄晗 《泉州师范学院学报》2013,31(2):34-39
提出一种扩展的lambda演算方法并给出相应类型的系统.基于扩展的lambda演算可建立服务模型,采用形式化方法,将服务内部流程抽象为函数概念,引入效果系统来记录服务的动作属性,推导服务动作操作集以验证服务编排是否满足用户所定义的规范,最后通过Coq实验来验证该方法的可行性. 相似文献
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The article presents some notes on normalization and illustrates these procedures using graphing functions in R. Using real data, the paper also presents an R package and online Shiny app that efficiently transforms variables in large datasets. 相似文献
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