Categories and continua: a review of taxometric research.

Nick Haslam, Helen C Kim
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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.

分类与连续:分类计量研究综述。
由Paul Meehl和他的同事开发的分类方法已经在大量的研究中得到应用,这些研究试图区分潜在变量的分类模型和连续模型。本文综述了心理病理、人格和其他变量的分类计量学研究,并得出了这些领域潜在变量的分类性的结论。此外,作者还对分类方法的验证和改进进行了综述,并提出了改进分类研究应用的建议。作者考虑了关于分类计量学概念地位的问题,并提出了新的问题。这些研究表明,分类方法为心理学研究做出了越来越多的贡献,解决了几个长期存在的争议,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,它所提供的研究可能性尚未得到充分利用。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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