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一些认知神经科学结构方程建模指南:以 Charlton 等人关于白质完整性和认知老化的研究为例。

Some guidelines for structural equation modelling in cognitive neuroscience: the case of Charlton et al.'s study on white matter integrity and cognitive ageing.

机构信息

Centre for Cognitive Aging and Cognitive Epidemiology, Department of Psychology, University of Edinburgh, Edinburgh, UK.

出版信息

Neurobiol Aging. 2010 Sep;31(9):1656-60; discussion 1561-6. doi: 10.1016/j.neurobiolaging.2009.10.019. Epub 2010 Jan 15.

Abstract

Charlton et al. (2008) (Charlton, R.A., Landua, S., Schiavone, F., Barrick, T.R., Clark, C.A., Markus, H.S., Morris, R.G.A., 2008. Structural equation modelling investigation of age-related variance in executive function and DTI-measured white matter change. Neurobiol. Aging 29, 1547-1555) presented a model that suggests a specific age-related effect of white matter integrity on working memory. We illustrate potential pitfalls of structural equation modelling by criticizing their model for (a) its neglect of latent variables, (b) its complexity, (c) its questionable causal assumptions, (d) the use of empirical model reduction, (e) the mix-up of theoretical perspectives, and (f) the failure to compare alternative models. We show that a more parsimonious model, based solely on the well-established general factor of cognitive ability, fits their data at least as well. Importantly, when modelled this way there is no support for a role of white matter integrity in cognitive aging in this sample, indicating that their conclusion is strongly dependent on how the data are analysed. We suggest that evidence from more conclusive study designs is needed.

摘要

查尔顿等人(2008 年)(查尔顿,R.A.,兰杜亚,S.,斯奇亚沃内,F.,巴里克,T.R.,克拉克,C.A.,马库斯,H.S.,莫里斯,R.G.A.,2008. 结构方程模型对执行功能和 DTI 测量的白质变化与年龄相关的方差的研究。神经生物学衰老 29, 1547-1555)提出了一个模型,该模型表明白质完整性对工作记忆的年龄相关影响具有特异性。我们通过批评他们的模型来展示结构方程模型的潜在陷阱,这些批评包括:(a)忽视潜在变量,(b)复杂性,(c)可疑的因果假设,(d)经验模型简化的使用,(e)理论观点的混淆,以及(f)未能比较替代模型。我们表明,一个更简约的模型,仅基于经过充分验证的认知能力的一般因素,至少同样适合他们的数据。重要的是,当以这种方式建模时,没有证据支持在这个样本中白质完整性在认知老化中的作用,这表明他们的结论强烈依赖于如何分析数据。我们建议需要来自更具结论性研究设计的证据。

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