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有序三类结构的税ometric分析中的推理错误。

Inferential errors in taxometric analyses of ordered three-class constructs.

作者信息

McGrath Robert E

机构信息

School of Psychology, Fairleigh Dickinson University, Teaneck, NJ 07666, USA.

出版信息

J Pers Assess. 2008 Jan;90(1):11-25. doi: 10.1080/00223890701356755.

Abstract

Taxometric analysis (Waller & Meehl, 1998) has become a popular tool for investigating whether personality and psychopathology constructs are better modeled as dimensional or categorical. Monte Carlo evidence for the validity of taxometric methods, however, has been restricted to data that are derived either from latent dimensional or dichotomous models. There are various circumstances in which the correct model for a psychosocial construct could involve three or more ordered classes. It was demonstrated both mathematically and empirically that under these circumstances, the results of taxometric analyses can lead to incorrect conclusions about the population structure. Recommendations are provided for future studies intended to distinguish between categorical and dimensional structures.

摘要

分类分析(Waller & Meehl,1998)已成为一种流行的工具,用于研究人格和精神病理学结构是更适合用维度模型还是类别模型来进行更好的建模。然而,分类分析方法有效性的蒙特卡洛证据仅限于从潜在维度模型或二分模型得出的数据。在各种情况下,心理社会结构的正确模型可能涉及三个或更多有序类别。从数学和实证两方面都证明,在这些情况下,分类分析的结果可能会导致关于总体结构的错误结论。本文为旨在区分类别结构和维度结构的未来研究提供了建议。

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