Can sample-specific simulations help detect low base-rate taxonicity?
Can sample-specific simulations help detect low base-rate taxonicity?
复制标题
特定于样本的模拟可以帮助检测低基准率分类吗？
DOI：
10.1037/1040-3590.17.4.446
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发表时间：
2005
影响因子：
3.6
通讯作者：
Bau,JinnJonp
中科院分区：
文献类型：
--
作者：
Beach,StevenRH;Amir,Nader;Bau,JinnJonp
作者研究了样本特异性模拟(SSS；AM Ruscio&J.Ruscio，2002；J.Ruscio&AM Ruscio，2004)程序在检测本来可能难以捉摸的低基率分类群中的作用。该方法保留了中高基准率分类群的主要分布特征，但对低基准率分类群表现不佳，具有低到中等的公害协方差，指标有效性降低，平均公害协方差增加。对SSS程序产生的曲线的目测检查，再加上尺虫试验应该为低碱基率分类样本产生明确的峰的期望，导致了关于数据适用性的不适当结论。作者推测，使用SSS检查低基数分类群可能需要其他算法来生成比较分布，考虑整个曲线的形状，和/或放松随着尺虫测试将出现明显峰值的预期。(心理信息数据库记录(C)2017 APA，版权所有)
The authors examined the role of the sample-specific simulations (SSS; AM Ruscio & J. Ruscio, 2002; J. Ruscio & AM Ruscio, 2004) procedure in detecting low base-rate taxa that might otherwise prove elusive. The procedure preserved key distributional characteristics for moderate to high base-rate taxa, but it performed inadequately for low base-rate taxa, with low to moderate nuisance covariance, decreasing indicator validity, and increasing average nuisance covariance. Visual inspection of the curves produced by the SSS procedure, combined with the expectation that the inchworm test should produce a clear peak for low base-rate taxonic samples, led to inappropriate conclusions about the suitability of data. The authors speculate that examination of low base-rate taxa using SSS may require other algorithms for generating comparison distributions, consideration of the shape of the whole curve, and/or relaxation of the expectation that a clear peak will emerge with the inchworm test.(PsycINFO Database Record (c) 2017 APA, all rights reserved)