二因素广义认知诊断模型框架

Cognitive diagnosis models (CDMs) are often applied to constructs that are largely unidimensional in nature (e.g., mathematics, reading, mental health status) where a set of discrete attributes coexists with a dominant general proficiency dimension. This article presents the bi-factor CDM model (BF-CDM), which partitions item responses into a direct effect of continuous general proficiency and a discrete attribute-mastery tier, allowing mastery classifications to be made beyond what is attributable to general ability. By modeling both tiers explicitly, the BF-CDM makes it possible to evaluate