Jointly modeling responses and omitted items by a competing risk model: A survival analysis approach.

ABSTRACT: Item response theory models are commonly adopted in educational assessment and psychological measurement. Such models need to be modified to accommodate practical situations when statistical sampling assumptions are violated. Omission is a common phenomenon in educational testing. In modern computer-based testing, we have not only examinees' responses but also their response times. This paper utilizes response time and develops a joint model of responses and response times. The new approach is analogous to those developed in survival analysis for dealing with right-censored data. In particular, a key ingredient is the introduction of the omission time (OT), which corresponds to the censoring time in survival analysis. By competing risk formulation, the proposed method provides an alternati

SUBMITTER: Guo J 

PROVIDER: S-EPMC12516114 | biostudies-literature | 2025 Nov

REPOSITORIES: biostudies-literature