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法恩斯沃思-芒塞尔100色调测试分数的偏度及变换

Skewness and transformations of Farnsworth-Munsell 100-hue test scores.

作者信息

Dain S J

机构信息

School of Optometry, University of New South Wales, Sydney, Australia.

出版信息

Vision Res. 1998 Nov;38(21):3473-6. doi: 10.1016/s0042-6989(98)00099-6.

Abstract

In the past, suggested transformations of Farnsworth-Munsell 100-Hue Test (FM 100-Hue) test scores distributions have been limited to a square root transformation. In this study, the choice of transformations of total error scores (TES) are considered by identifying a possible source of skewness. Several distributions of FM100-Hue Test TES were assessed for skewness (third moment). The error score (ES) distributions for the 85 individual caps in each of the populations were also analysed for skewness (Figs. 3 and 4). There is no single transformation which will normalise all TES distributions. The single cap ES distributions with low mean ES (such as those achieved normals and, for some regions of the test, by anomalous trichromats and dichromats) are symmetrical because most subjects can organise the cap perfectly (and could do even better given smaller colour differences). The distributions of ESs where the mean ES is in the moderate range (such as those achieved by diabetics) are skewed because some ESs at the lower end of the range represent performance which could also be better than the test allows. ES distributions with a high mean (such as random distributions and some regions of the test by congenital dichromats) are symmetrical being unaffected by the limitations of the test. TES distributions of diabetics are asymmetrical and comprise skewed cap ES distributions. A suggestion for a transformation is made.

摘要

过去,针对 Farnsworth-Munsell 100 色调测试(FM 100 色调)分数分布所建议的变换仅限于平方根变换。在本研究中,通过确定可能的偏度来源来考虑总误差分数(TES)变换的选择。评估了 FM100 色调测试 TES 的几种分布的偏度(三阶矩)。还分析了各总体中 85 个单独色标的误差分数(ES)分布的偏度(图 3 和图 4)。不存在能使所有 TES 分布都标准化的单一变换。平均 ES 较低的单个色标 ES 分布(如正常受试者以及在测试某些区域中异常三色视者和二色视者所获得的分布)是对称的,因为大多数受试者能够完美地排列色标(并且如果颜色差异更小,表现会更好)。平均 ES 处于中等范围的 ES 分布(如糖尿病患者所获得的分布)是偏态的,因为该范围下限处的一些 ES 所代表的表现本可以比测试允许的更好。平均 ES 较高的 ES 分布(如随机分布以及先天性二色视者在测试某些区域中的分布)是对称的,不受测试局限性的影响。糖尿病患者的 TES 分布是不对称的,由偏态的色标 ES 分布组成。提出了一种变换建议。

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