Should substance use disorders be considered as categorical or dimensional?
Should substance use disorders be considered as categorical or dimensional?
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DOI：
10.1111/j.1360-0443.2006.01583.x
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发表时间：
2006-09-01
期刊：
影响因子：
6
通讯作者：
Muthen, Bengt
中科院分区：
文献类型：
--
作者：
Muthen, Bengt
目的本文讨论了使用分类和维度统计模型的诊断标准的表示。传统的模型使用分类或连续的潜在变量的形式，潜在的类分析和因素（IRT）分析的诊断标准的分析有局限性。方法讨论了新的混合模型，该模型使用混合模型在同一模型中提供类别和维度表示。传统的和新的模型应用和比较，使用最近的数据，精神疾病诊断和统计手册第四版（DSM-IV）酒精依赖和滥用标准，从全国流行病学调查酒精和相关条件。从混合模型的分类结果进行比较的DSM-IV的方法，使用的诊断标准的数量满足。结果发现新的混合模型比潜在类别和因素（IRT）模型更适用于预测。结论DSM-V的影响进行了讨论，报告结果使用的类别和尺寸。
Aims This paper discusses the representation of diagnostic criteria using categorical and dimensional statistical models. Conventional modeling using categorical or continuous latent variables in the form of latent class analysis and factor (IRT) analysis has limitations for the analysis of diagnostic criteria. Methods New hybrid models are discussed which provide both categorical and dimensional representations in the same model using mixture models. Conventional and new models are applied and compared using recent data for Diagnostic and Statistical Manual of Mental Disorders version IV (DSM-IV) alcohol dependence and abuse criteria from the National Epidemiologic Survey on Alcohol and Related Conditions. Classification results from hybrid models are compared to the DSM-IV approach of using the number of diagnostic criteria fulfilled. Results It is found that new hybrid mixture models are more suitable than latent class and factor (IRT) models. Conclusions Implications for DSM-V are discussed in terms of reporting results using both categories and dimensions.