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Open access Aug 2026

A Two-Step Estimation Approach of Latent Class-Item Response Theory Models in the Presence of DIF and Multidimensionality

Estimation of Latent class item response theory (LC-IRT) models is typically performed using full-information maximum likelihood, which may be computationally demanding, susceptible to convergence problems, and subject to interpretational confounding. We propose a two-step estimation approach for unidimensional and mul...

Z. Bakk, Rosa Fabbricatore · 0 citations
Open access Aug 2026

A General Approach for Estimating Projective IRT Models

Projective Item Response Theory (PIRT) modeling is a measurement framework in which multidimensional item response models are expressed in terms of lower-dimensional (e.g., unidimensional) proxy IRT models. Existing PIRT methods and their associated estimators currently rely on logistic function approximations that are...

R. Chalmers, Carl F. Falk, S. Reise · 0 citations
Aug 2026

Latent Variable Selection in Multidimensional Item Response Theory Models With Nonignorable Missingness

Nonignorable item nonresponses commonly occur in educational and psychological measurement and pose challenges for statistical inference in item response theory (IRT) models. In multidimensional IRT (MIRT), a key issue is identifying the relationships between multiple latent abilities and test items, known as latent va...

Qian-Zhen Zheng, Ping-Feng Xu, Laixu Shang et al. · 0 citations
Open access Aug 2026

Improving the measurement of knowledge in multiple-choice tests: A hierarchical multinomial processing tree approach.

In multiple-choice (MC) tests, correct item responses can stem from actual mastery as well as from lucky guessing. Several approaches have been developed to address this problem, including the implementation of a "Don't know" option. However, scoring such MC tests is challenging, as traditional scoring techniques are d...

Timo Seitz, F. Leipold, Julius Protte · 0 citations
#natural language process... Review Sep 2026

Can Large Language Models Anticipate Behavioral Responses to Social Policies? A Case of Pension Enrollment Prediction among China's Flexible Workers

FlexPension-LLM is presented, the first domain-specialized large language model for a hierarchical pension-enrollment prediction task among flexible workers in China, and DKI-RDistill is introduced, which injects policy-grounded cues into the prompt, including Probit-derived marginal effects and hukou-province pension...

Yu-Miao Li, Pei-Xin Liu, Donglin Di et al. · 0 citations
Review Open access Aug 2026

Determinants of Mnet Plus E-Voting Continuance Using a Modified DeLone and McLean Model

The findings distinguish technical quality, service support, procedural reliance, task capability, and post-use evaluation, which represents reliance on registration, counting, confidentiality, and administration, whereas Self-Efficacy represents confidence in completing the task.

Muhammad Akbar Athaya, Anita Wulansari, Virdha Rahma Aulia · 0 citations

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