使用非参数项目反应理论模型识别认知能力下降的模式:莫肯量表分析。

IF 2 4区 心理学 Q2 PSYCHOLOGY
Carlos Calderón, Diego Palominos, Óscar Véliz-García, Miguel Ramos-Henderson, Nikolás Bekios-Canales, Christian Beyle, Marcelo Ávalos-Tejeda, Marcos Domic-Siede
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引用次数: 0

摘要

认知能力下降,尤其是痴呆症,给早期检测和诊断带来了复杂的挑战。虽然项目反应理论(IRT)在通过心理测试确定认知功能障碍的模式方面发挥了重要作用,但其参数模型往往需要大量样本和严格的假设。这就需要适应性更强、要求更低的分析方法。本研究旨在评估莫肯量表分析法(MSA)这种非参数 IRT 模型在从心理测验中识别认知障碍的分层模式方面的有效性。利用 1164 名 60 岁以上成年人的数据,我们将 MSA 应用于 ACE-III 的定向分量表。我们的分析包括计算可伸缩性、单调同质性、不变项目排序(IIO)和反应函数。MSA 有效地检索了认知障碍模式的等级顺序。大多数项目显示出很强的可扩展性和一致的认知表现模式。不过,在 IIO 方面也发现了一些问题,尤其是难度参数相邻的项目。研究结果凸显了 MSA 在认知障碍研究中作为参数 IRT 模型的实用替代品的潜力。MSA 能够为认知退化模式提供有价值的见解,而且要求不那么严格,因此是临床医生和研究人员的有用工具。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Using a nonparametric item response theory model to identify patterns of cognitive decline: The Mokken scale analysis.

Cognitive decline, particularly in dementia, presents complex challenges in early detection and diagnosis. While Item Response Theory (IRT) has been instrumental in identifying patterns of cognitive impairment through psychometric tests, its parametric models often require large sample sizes and strict assumptions. This creates a need for more adaptable, less demanding analytical methods. This study aimed to evaluate the effectiveness of Mokken scale analysis (MSA), a nonparametric IRT model, in identifying hierarchical patterns of cognitive impairment from psychometric tests. Using data from 1164 adults over 60 years old, we applied MSA to the orientation subscale of ACE-III. Our analysis involved calculating scalability, monotone homogeneity, invariant item ordering (IIO) and response functions. The MSA effectively retrieved the hierarchical order of cognitive impairment patterns. Most items showed strong scalability and consistent patterns of cognitive performance. However, challenges with IIO were observed, particularly with items having adjacent difficulty parameters. The findings highlight MSA's potential as a practical alternative to parametric IRT models in cognitive impairment research. Its ability to provide valuable insights into patterns of cognitive deterioration, coupled with less stringent requirements, makes it a useful tool for clinicians and researchers.

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来源期刊
Journal of Neuropsychology
Journal of Neuropsychology 医学-心理学
CiteScore
4.50
自引率
4.50%
发文量
34
审稿时长
>12 weeks
期刊介绍: The Journal of Neuropsychology publishes original contributions to scientific knowledge in neuropsychology including: • clinical and research studies with neurological, psychiatric and psychological patient populations in all age groups • behavioural or pharmacological treatment regimes • cognitive experimentation and neuroimaging • multidisciplinary approach embracing areas such as developmental psychology, neurology, psychiatry, physiology, endocrinology, pharmacology and imaging science The following types of paper are invited: • papers reporting original empirical investigations • theoretical papers; provided that these are sufficiently related to empirical data • review articles, which need not be exhaustive, but which should give an interpretation of the state of research in a given field and, where appropriate, identify its clinical implications • brief reports and comments • case reports • fast-track papers (included in the issue following acceptation) reaction and rebuttals (short reactions to publications in JNP followed by an invited rebuttal of the original authors) • special issues.
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