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诊断东亚人群中的面孔失认症:剑桥面孔记忆测试中文版常模。

Diagnosing prosopagnosia in East Asian individuals: Norms for the Cambridge Face Memory Test-Chinese.

作者信息

McKone Elinor, Wan Lulu, Robbins Rachel, Crookes Kate, Liu Jia

机构信息

a Research School of Psychology , The Australian National University , Canberra , Australia.

b ARC Centre for Excellence in Cognition and Its Disorders , The Australian National University , Canberra , Australia.

出版信息

Cogn Neuropsychol. 2017 Jul;34(5):253-268. doi: 10.1080/02643294.2017.1371682. Epub 2017 Sep 14.

DOI:10.1080/02643294.2017.1371682
PMID:28906173
Abstract

The Cambridge Face Memory Test (CFMT) is widely accepted as providing a valid and reliable tool in diagnosing prosopagnosia (inability to recognize people's faces). Previously, large-sample norms have been available only for Caucasian-face versions, suitable for diagnosis in Caucasian observers. These are invalid for observers of different races due to potentially severe other-race effects. Here, we provide large-sample norms (N = 306) for East Asian observers on an Asian-face version (CFMT-Chinese). We also demonstrate methodological suitability of the CFMT-Chinese for prosopagnosia diagnosis (high internal reliability, approximately normal distribution, norm-score range sufficiently far above chance). Additional findings were a female advantage on mean performance, plus a difference between participants living in the East (China) or the West (international students, second-generation children of immigrants), which we suggest might reflect personality differences associated with willingness to emigrate. Finally, we demonstrate suitability of the CFMT-Chinese for individual differences studies that use correlations within the normal range.

摘要

剑桥面部记忆测试(CFMT)被广泛认为是诊断面孔失认症(无法识别他人面孔)的有效且可靠的工具。此前,只有适用于白种人面孔版本的大样本常模,适用于对白种人观察者进行诊断。由于可能存在严重的其他种族效应,这些常模对不同种族的观察者无效。在此,我们提供了东亚观察者在亚洲面孔版本(CFMT-中文)上的大样本常模(N = 306)。我们还证明了CFMT-中文在面孔失认症诊断方面的方法学适用性(高内部信度、近似正态分布、常模分数范围远高于随机水平)。其他发现包括女性在平均表现上的优势,以及生活在东方(中国)或西方(国际学生、移民的第二代子女)的参与者之间的差异,我们认为这可能反映了与移民意愿相关的人格差异。最后,我们证明了CFMT-中文适用于在正常范围内使用相关性的个体差异研究。

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