Many approaches have been proposed to jointly analyze item responses and response
times to understand behavioral differences between normally and aberrantly behaved test …

Cognitive diagnostic models (CDMs) are a popular family of discrete latent variable models
that model students' mastery or deficiency of multiple fine-grained skills. CDMs have been …

Preknowledge cheating jeopardizes the validity of inferences based on test results. Many
methods have been developed to detect preknowledge cheating by jointly analyzing item …

Multiple group modeling is one of the methods to address the measurement noninvariance
issue. Traditional studies on multiple group modeling have mainly focused on item …

Computer-based testing (CBT) is becoming increasingly popular in assessing test-takers'
latent abilities and making inferences regarding their cognitive processes. In addition to …

Respondents' problem-solving behaviors comprise behaviors that represent complicated
cognitive processes that are frequently systematically tied to one another. Biometric data …

Using eye-tracking, this study examined the role of semantic transparency in L2 learners'
incidental learning of compounds from reading and how real-time processing of novel …

The basic premise of “teaching students according to their aptitude” is to have a relatively
objective and accurate understanding of the students' current learning statuses (eg …

There is a growing interest in approaches based on latent-variable models for detecting
fraudulent behavior on educational tests. Wollack and Schoenig (2018) noted the presence …

Recently, joint models of item response data and response times have been proposed to
better assess and understand test takers' learning processes. This article demonstrates how …