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深入分裂型特质分类群:论最大协方差分析的稳健本质。

Deeper into the schizotypy taxon: on the robust nature of maximum covariance analysis.

作者信息

Lenzenweger M F

机构信息

Laboratory of Experimental Psychopathology, Cornell University, USA.

出版信息

J Abnorm Psychol. 1999 Feb;108(1):182-7. doi: 10.1037//0021-843x.108.1.182.

Abstract

Prior research has suggested that the latent structure of the schizotypy construct (P. E. Meehl, 1990) may be qualitative in nature and have a low base rate (L. Korfine & M. F. Lenzenweger, 1995; M. F. Lenzenweger & L. Korfine, 1992). These studies relied on the application of maximum covariance analysis (MAXCOV) to 8 true-false format items from a schizotypy measure. The current study sought to examine the robustness of those prior findings through MAXCOV analysis of fully quantitative measures of schizotypy. Measures of perceptual aberration, magical ideation, and referential thinking were analyzed using MAXCOV in a sample of 429 persons. The results of these analyses strongly support a latent taxonic structure for schizotypy and a low base rate for the schizotypy taxon. Furthermore, the members of the putative taxon reveal an increased level of deviance on a psychometric measure known to be associated with schizophrenia liability. The possibility that the dichotomous item format of those items analyzed previously with MAXCOV lead to spurious pseudotaxonicity is greatly diminished in light of these results.

摘要

先前的研究表明,分裂型特质结构(P.E. 米尔,1990)的潜在结构可能本质上是质性的,且基础比率较低(L. 科尔芬 & M.F. 伦曾韦格,1995;M.F. 伦曾韦格 & L. 科尔芬,1992)。这些研究依赖于对分裂型特质测量中的8个是非题格式项目应用最大协方差分析(MAXCOV)。当前研究试图通过对分裂型特质的完全定量测量进行MAXCOV分析,来检验那些先前研究结果的稳健性。在429名参与者的样本中,使用MAXCOV对感知偏差、神奇观念和牵连观念的测量进行了分析。这些分析结果有力地支持了分裂型特质的潜在分类结构以及分裂型特质分类的低基础比率。此外,假定分类中的成员在一项已知与精神分裂症易感性相关的心理测量指标上表现出更高水平的偏差。鉴于这些结果,先前用MAXCOV分析的那些项目的二分题格式导致虚假伪分类的可能性大大降低。

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