Performing Taxometric Analysis to Distinguish Categorical and Dimensional Variables.

Performing Taxometric Analysis to Distinguish Categorical and Dimensional Variables.
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DOI:
10.5127/jep.010910
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发表时间:
2011
影响因子:
1.4
通讯作者:
Carney LM
Carney LM
中科院分区:
医学3区
文献类型:
--
作者:
Ruscio J;Ruscio AM;Carney LM

文献摘要

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临床科学家面临的一个基本问题是,他们正在研究的概念本质上是绝对的还是次元的。税收计量学方法是专门为回答这个问题而开发的,并被越来越多的研究人员用来为精神病理学的理论、研究和实践提供信息。目前的文件提供了对该方法的实际介绍,根据最近方法学研究的结果更新了以前的教程。我们提供了关于数据要求、指标选择、参数估计以及程序选择和实施的修订指南。我们使用理想化的数据集以及在临床研究中发现的具有代表性的数据集来说明我们推荐的税收计量分析方法。我们以帮助新来者开始他们自己的税收计量分析的建议结束。
A fundamental question facing clinical scientists is whether the constructs they are studying are categorical or dimensional in nature. The taxometric method was developed expressly to answer this question and is being used by a growing number of investigators to inform theory, research, and practice in psychopathology. The current paper provides a practical introduction to the method, updating earlier tutorials based on the findings of recent methodological studies. We offer revised guidelines for data requirements, indicator selection, parameter estimation, and procedure selection and implementation. We illustrate our recommended approach to taxometric analysis using idealized data sets as well as data sets representative of those found in clinical research. We close with advice to help newcomers get started on their own taxometric analyses.