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类别与连续体:一项税式计量研究综述

Categories and continua: a review of taxometric research.

作者信息

Haslam Nick, Kim Helen C

机构信息

Department of Psychology, University of Melbourne, Parkville, Victoria, Australia.

出版信息

Genet Soc Gen Psychol Monogr. 2002 Aug;128(3):271-320.

Abstract

The taxometric procedures developed by Paul Meehl and his colleagues have been used in a large body of research seeking to distinguish between categorical and continuous models of latent variables. In this article the authors survey taxometric studies of psychopathological, personality, and other variables and draw conclusions about the taxonicity of latent variables in these domains. In addition, the authors review research on the validation and refinement of taxometric methods and make proposals for improving the application of taxometric research. The authors consider questions that remain about the conceptual status of taxometrics and raise new ones. They show that taxometric methodology has made an accelerating number of contributions to psychological research, has resolved several longstanding controversies, and has challenged some entrenched theoretical assumptions in differential psychology. Moreover, they contend that the research possibilities that it affords have yet to be fully exploited.

摘要

保罗·米尔及其同事开发的分类分析程序已被大量研究采用,这些研究旨在区分潜在变量的类别模型和连续模型。在本文中,作者调查了关于精神病理学、人格及其他变量的分类分析研究,并就这些领域中潜在变量的类属性质得出结论。此外,作者回顾了关于分类分析方法验证与完善的研究,并就改进分类分析研究的应用提出建议。作者思考了分类分析在概念层面仍存在的问题,并提出了新的问题。他们表明,分类分析方法对心理学研究的贡献越来越多,解决了一些长期存在的争议,并挑战了差异心理学中一些根深蒂固的理论假设。此外,他们认为该方法所提供的研究可能性尚未得到充分利用。

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