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首页> 外文期刊>Applied neuropsychology >Playing statistical ouija board with commonality analysis: good questions, wrong assumptions.
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Playing statistical ouija board with commonality analysis: good questions, wrong assumptions.

机译:通过通用性分析打出统计数据:好问题,错误的假设。

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摘要

Commonality analysis, as used by Hale, Fiorello, and colleagues (e.g., Hale, J. B., Fiorello, C. A., Kavanagh, J. A., Holdnack, J. A., & Aloe, A. M. [2007]. Is the demise of IQ interpretation justified? A response to special issue authors. Applied Neuropsychology, 21, 37-51), often leads to unjustified conclusions. Analyses of simulated datasets show that the highest-order commonality is a poor operationalization of the general factor of intelligence (g). Under commonly observed conditions, it is plausible that lower-order commonalities and unique components in a commonality analysis can consist entirely of g. Other problems with Hale and colleagues' (2007) analyses and interpretations are also discussed.
机译:Hale,Fiorello及其同事(例如,Hale,JB,Fiorello,CA,Kavanagh,JA,Holdnack,JA和Aloe,AM [2007])使用的共性分析。智商解释的消亡是否合理?特刊作者,《应用神经心理学》,第21卷,第37-51页)经常得出不合理的结论。对模拟数据集的分析表明,最高阶共性是对一般智力因素(g)的较差的操作性。在通常观察到的条件下,较低的公共性和公共性分析中的唯一组成部分可以完全由g组成是合理的。还讨论了Hale及其同事(2007年)的分析和解释中的其他问题。

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