Taxometric analysis .2. Detecting taxonicity using covariance of two quantitative indicators in successive intervals of a third indicator (MAXCOV procedure)
Taxometric analysis .2. Detecting taxonicity using covariance of two quantitative indicators in successive intervals of a third indicator (MAXCOV procedure)
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DOI：
10.2466/pr0.1996.78.3c.1091
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发表时间：
1996-06-01
影响因子：
2.3
通讯作者：
Yonce, LJ
中科院分区：
文献类型：
--
作者：
Meehl, PE;Yonce, LJ
给定一个潜在分类单元的三个定量指标：一个统计函数，定义为两个指标（指定为“输出"指标）的协方差，沿着沿着的第三个指标（指定为”输入“指标）计算，揭示数据的潜在结构是否是分类的。如果它是分类的，潜在的参数（基本率，命中率，补充和分类手段）可以估计，潜在的分布绘制，并将科目分配到分类或补充组。描述了几种一致性测试。MAXCOV（最大协方差）是Meehl的相干切割动力学方法中的一个相关的分类程序家族。
Given three quantitative indicators of a conjectured latent taxon: a statistical function defined as the covariance of two indicators (designated for the procedure as the ''output'' indicators) computed within successive intervals along the third (designated as ''input'') indicator reveals whether the latent structure of the data is taxonic or not. If it is taxonic, latent parameters (base rate, hit rates, complement and taxon means) can be estimated, the latent distributions drawn, and subjects assigned to the taxon or the complement group. Several consistency tests art: described. MAXCOV (MAXimum COVariance) is one of a related family of taxometric procedures in Meehl's Coherent Cut Kinetics Method.