Masyn Katherine E, Henderson Craig E, Greenbaum Paul E
Harvard University.
Sam Houston State University.
Soc Dev. 2010 Aug;19(3):470-493. doi: 10.1111/j.1467-9507.2009.00573.x.
This paper provides an introduction to a recently developed conceptual framework-the dimensional-categorical spectrum-for utilizing general factor mixture models to explore the latent structures of psychological constructs. This framework offers advantages over traditional latent variable models that usually employ either continuous latent factors or categorical latent class variables to characterize the latent structure and require an a priori assumption about the underlying nature of the construct as either purely dimension or purely categorical. The modeling process is discussed in detail and then illustrated with data on the delinquency items of Achenbach's child behavior checklist from a sample of children in the National Adolescent and Child Treatment Study.
本文介绍了一种最近开发的概念框架——维度-类别谱，用于利用一般因素混合模型探索心理结构的潜在结构。该框架比传统的潜在变量模型具有优势，传统模型通常使用连续潜在因素或类别潜在类别变量来表征潜在结构，并且需要对结构的潜在性质预先假设为纯粹维度或纯粹类别。详细讨论了建模过程，然后用来自国家青少年和儿童治疗研究样本中阿肯巴克儿童行为检查表中犯罪项目的数据进行了说明。
