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Measuring fluid intelligence on a ratio scale: Evidence from nonverbal classification problems and information entropy

机译:在比率量表上测量流体智能:非语言分类问题和信息熵的证据

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摘要

Drawing on the g factor and information theory literatures, the relationship between the four subtests of the Culture-Fair Intelligence Test (CFIT) and the entropy of the Ruiz Absolute Scale of Complexity Management (R-ASCM) was investigated. In results based on data collected from 186 university students, the entropy of the R-ASCM mostly loads the first principal component extracted from the CFIT subtests and shows a corresponding strong relationship with the item difficulty of the R-ASCM. Because entropy is a ratio scale of complexity— with a true zero and units called bits—these findings suggest that entropy is the right vehicle for measuring the information contained in nonverbal intelligence tests.
机译:利用g因子和信息论文献,研究了文化公平智力测验(CFIT)的四个子测验与复杂性管理的Ruiz绝对量表(R-ASCM)的熵之间的关系。根据从186名大学生中收集的数据得出的结果中,R-ASCM的熵主要加载从CFIT子测验中提取​​的第一主成分,并显示出与R-ASCM的项目难度具有相应的强烈关系。由于熵是复杂度的比例标度-带有一个零和一个称为比特的单位-这些发现表明,熵是衡量非语言智力测验中包含的信息的正确工具。

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  • 来源
    《Behavior Research Methods》 |2009年第2期|439-445|共7页
  • 作者

    Philippe E. Ruiz;

  • 作者单位

    Willy Brandt ESC Lille Graduate School-LSMRC 59777 Euralille France;

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  • 正文语种 eng
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