Results of a comprehensive simulation study are reported investigating the effects of sample
size, test length, number of attributes and base rate of mastery on item parameter recovery …

Cognitive diagnostic models (CDMs) are increasingly being used in various assessment
contexts to identify cognitive processes and provide tailored feedback. However, the most …

In diagnostic classification models, parameter estimation sometimes provides estimates that
stick to the boundaries of the parameter space, which is called the boundary problem and …

心理学研究中, 不恰当的模型参数估计框架或收敛准则严重影响模型参数点估计的可靠性,
进而影响到研究结论的可靠性. 本研究提出了基于MLE-EM 的CDM 模型参数估计新框架 …

Cognitive diagnosis models (CDMs) are confirmatory latent class models that provide fine-
grained information about skills and cognitive processes. These models have gained …

In recent years, a family of psychometric models has been developed for classifying
examinees against a number of discrete attributes. In this context, attributes are construed as …

As mathematical psychology has evolved from the development of mathematical
representations of psychological experience and mathematical relationships between these …

Secondary analyses of international large-scale assessments (ILSA) commonly characterize
relationships between variables of interest using correlations. However, the accuracy of …

In diagnostic classification models, parameter estimation sometimes provides estimates that
stick to the boundaries of the parameter space, which is called the boundary problem, and it …