Templin Jonathan L, Henson Robert A
Department of Psychology, University of Kansas, Lawrence, KS 66045, USA.
Psychol Methods. 2006 Sep;11(3):287-305. doi: 10.1037/1082-989X.11.3.287.
Cognitive diagnosis models are constrained (multiple classification) latent class models that characterize the relationship of questionnaire responses to a set of dichotomous latent variables. Having emanated from educational measurement, several aspects of such models seem well suited to use in psychological assessment and diagnosis. This article presents the development of a new cognitive diagnosis model for use in psychological assessment--the DINO (deterministic input; noisy "or" gate) model--which, as an illustrative example, is applied to evaluate and diagnose pathological gamblers. As part of this example, a demonstration of the estimates obtained by cognitive diagnosis models is provided. Such estimates include the probability an individual meets each of a set of dichotomous Diagnostic and Statistical Manual of Mental Disorders (text revision [DSM-IV-TR]; American Psychiatric Association, 2000) criteria, resulting in an estimate of the probability an individual meets the DSM-IV-TR definition for being a pathological gambler. Furthermore, a demonstration of how the hypothesized underlying factors contributing to pathological gambling can be measured with the DINO model is presented, through use of a covariance structure model for the tetrachoric correlation matrix of the dichotomous latent variables representing DSM-IV-TR criteria.
认知诊断模型是受限（多分类）潜在类别模型，用于刻画问卷回答与一组二分潜在变量之间的关系。这类模型源自教育测量领域，其多个方面似乎非常适合用于心理评估和诊断。本文介绍了一种用于心理评估的新型认知诊断模型——DINO（确定性输入；噪声“或”门）模型——作为一个示例，该模型被应用于评估和诊断病态赌徒。作为此示例的一部分，还展示了通过认知诊断模型获得的估计值。这些估计值包括个体符合一组二分《精神障碍诊断与统计手册》（文本修订版[DSM-IV-TR]；美国精神病学协会，2000）标准中每一项的概率，从而得出个体符合DSM-IV-TR中病态赌徒定义的概率估计值。此外，通过使用代表DSM-IV-TR标准的二分潜在变量的四分相关矩阵的协方差结构模型，展示了如何用DINO模型测量导致病态赌博的假设潜在因素。
