Exploratory General-Response Cognitive Diagnostic Models with Higher-Order Structures.

ABSTRACT: Cognitive Diagnostic Models (CDMs) are popular discrete latent variable models in educational and psychological measurement. While existing CDMs mainly focus on binary or categorical responses, there is a growing need to extend them to model a wider range of response types, including but not limited to continuous and count-valued responses. Meanwhile, incorporating higher-order latent structures has become crucial for gaining deeper insights into cognitive processes. We propose a general modeling framework for higher-order CDMs for rich types of responses. Our framework features a highly flexible data layer that is adaptive to various response types and measurement models for CDMs. Importantly, we address a challenging exploratory estimation scenario where the item-attribute relationship,

SUBMITTER: Liu J 

PROVIDER: S-EPMC12805203 | biostudies-literature | 2025 Apr

REPOSITORIES: biostudies-literature