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使用莫肯量表法研究自闭症谱系商数的结构。

Investigating the structure of the autism-spectrum quotient using Mokken scaling.

作者信息

Stewart Mary E, Allison Carrie, Baron-Cohen Simon, Watson Roger

机构信息

Psychology.

Autism Research Centre, Department of Psychiatry, Cambridge University.

出版信息

Psychol Assess. 2015 Jun;27(2):596-604. doi: 10.1037/pas0000058. Epub 2015 Feb 9.

DOI:10.1037/pas0000058
PMID:25664635
Abstract

Traits similar to those shown in autism spectrum condition (ASC) are apparent in relatives of individuals with ASC, and in the general population without necessarily meeting diagnostic criteria for an ASC. We assess whether the Autism-Spectrum Quotient (AQ), a self-report measure, has hierarchical properties using Mokken scaling. Hierarchical scales allow the presence of a latent trait to be identified by discovering whether and how many specific items form an ordered array along it. Data were collected from 2 groups: (1) people with ASC (n = 449: 240 males, 209 females, M(age) 35.4 years, SD = 12.8) and (2) university students (n = 943: 465 males, 475 females, M(age) = 23.0 years, SD = 8.4). A single Mokken scale was obtained in the data from university students and 3 scales were obtained in the data from people with ASC. The scales all showed moderate Mokken scaling properties with the single scale obtained from university students showing weak invariant item ordering and 2 of the scales from people with ASC showing weak invariant item ordering. The AQ formed reliable Mokken scales. There was a large overlap between the scale from the university student sample and the sample with ASC, with the first scale, relating to social interaction, being almost identical. The present study confirms the utility of the AQ as a single instrument that can dimensionalize autistic traits in both university student and clinical samples of ASC, and confirms that items of the AQ are consistently ordered relative to one another.

摘要

自闭症谱系障碍(ASC)患者的亲属以及普通人群中都存在与ASC相似的特征,即便不一定符合ASC的诊断标准。我们使用莫肯量表分析来评估自闭症谱系商数(AQ)这一自我报告测量工具是否具有层级特性。层级量表能够通过探究特定项目是否以及有多少沿着潜在特质形成有序排列来识别潜在特质的存在。数据收集自两组人群:(1)ASC患者(n = 449:男性240人,女性209人,年龄均值35.4岁,标准差 = 12.8);(2)大学生(n = 943:男性465人,女性475人,年龄均值 = 23.0岁,标准差 = 8.4)。在大学生数据中得到了一个单一的莫肯量表,在ASC患者数据中得到了三个量表。所有量表均显示出适度的莫肯量表特性,大学生数据得到的单一量表显示出较弱的不变项目排序,ASC患者数据中的两个量表也显示出较弱的不变项目排序。AQ形成了可靠的莫肯量表。大学生样本量表与ASC患者样本量表之间存在很大重叠,第一个与社交互动相关的量表几乎完全相同。本研究证实了AQ作为一种单一工具在对ASC的大学生和临床样本中的自闭症特征进行量化方面的效用,并证实了AQ的项目彼此之间始终保持有序排列。

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