Observations on the use of growth mixture models in psychological research
Observations on the use of growth mixture models in psychological research
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DOI：
10.1080/00273170701710338
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发表时间：
2007-01-01
影响因子：
3.8
通讯作者：
Bauer, Daniel J.
中科院分区：
文献类型：
--
作者：
Bauer, Daniel J.
心理学家正在以越来越快的速度应用增长混合模型。这篇文章认为，大多数这些应用程序是不太可能重现潜在的分类结构的人口。在更基本的层次上，在许多情况下可能找不到分类结构，潜在生长类则明确地近似于变化中个体差异的真实连续性。这种近似虽然在某些情况下可能有用，但也可能有问题。因此，增长混合模型在心理科学中的效用仍然存在疑问。这些模型可能更有利可图的使用的一些方式提出了建议。
Psychologists are applying growth mixture models at an increasing rate. This article argues that most of these applications are unlikely to reproduce the underlying taxonic structure of the population. At a more fundamental level, in many cases there is probably no taxonic structure to be found. Latent growth classes then categorically approximate the true continuum of individual differences in change. This approximation, although in some cases potentially useful, can also be problematic. The utility of growth mixture models for psychological science thus remains in doubt. Some ways in which these models might be more profitably used are suggested.